Browse AI engineers

AI Engineer with a Master of Computing and production experience in fine-tuning LLM/SLM, building RAG, and ML pipelines. Delivered a 33% F1 improvement on 32,000+ financial transactions at WeMoney within 8 weeks with a team and executed KYC checks to full SOP accuracy. Shipped a live multi-model AI Chrome Extension to the Chrome Web Store. Seeking an AI Engineer role in Australia to ship regulator-ready AI systems that drive measurable commercial value.

Senior AI Engineer specialising in production GenAI systems, agentic AI, and end-to-end ML solutions. 4 years of ML/data science experience including 2 years building and deploying LLM-powered applications with RAG pipelines, multi-turn evaluation frameworks, and autonomous agents. Proven track record delivering measurable business impact through scalable AI systems in high-volume production environments.

Experienced Data Engineer with 2.5 years of expertise in designing and implementing Data Warehouse solutions across Banking and Insurance sectors. Currently pursuing a Master's in Data Science, blending practical data engineering skills with a deep understanding of AI and ML. Skilled in the entire data journey — from efficient data extraction, transformation, and management to developing and training machine learning models. Committed to leveraging data-driven insights and building intelligent solutions to tackle real-world challenges.

Backend-focused software engineer with experience in building and maintaining APIs and data pipelines. Has hands-on work with ML-enabled analytics, data warehousing, and collaborative cross-functional projects. Demonstrated ability to integrate online/offline data systems and support reporting, with exposure to AWS, Kubernetes, and Spring Boot. Interested in trustworthy AI, large vision-language models, and ML workflow deployment.

I am an AI builder with an extensive business background. I like architecting innovative AI solutions and turning complex challenges into valuable outcomes.

Applied-research-minded engineer with hands-on experience across computer vision, NLP, and RAG. Comfortable owning the end-to-end workflow from data processing → model development → production deployment. Keen to contribute in fast-paced teams and keep learning.

Analytical and results-driven Master of Data Science student with a solid foundation in statistical modelling, regression, and time-series forecasting. Passionate about translating data into strategic insights and optimisation outcomes. I bring a unique blend of technical knowledge, software development exposure in start-ups and MNC, and problem-solving experience. Eager to contribute to dynamic, data-led organisations through structured analysis, forecasting models, and data-driven decision-making tools.

Experienced UNSW Sydney graduate specializing in implementing Signal Processing to develop the Artificial Intelligence. Possess 5 years of hands-on experience focusing on testing and validating 5G/4G modem chipset firmware involving CI/CD pipelines. My thesis project centres on Natural Language Processing algorithm using Assembly Calculus.

I have a passion for building intelligent systems that solve real world problems. I have hands on experience designing and evaluating multi agent reinforcement learning systems, implementing user facing features during industry placements, and collaborating with cross functional teams to deliver practical solutions. My goal is to contribute to projects that have an impact, whether through AI systems, user experiences, or community outcomes. I enjoy learning from others and connecting with others’ perspectives. I want to apply my engineering knowledge, from design and project management to building software and mechanical systems, and make ideas happen.

Aspiring Graduate Software Engineer (AI) with strong academic training and hands-on experience in Python, deep learning, and natural language processing. Proficient in building scalable AI applications leveraging PyTorch and TensorFlow, and deploying with MLOps pipelines. Proven ability to develop robust solutions in real-world scenarios, leveraging frameworks like HuggingFace, ClearML, and AWS. Highly motivated to contribute to innovative software development teams focused on AI and ML systems.

An applied student who recently graduated with a strong desire to utilize learned skills in a professional environment. Motivated to embrace challenges and growth opportunities in an environment where my knowledge can be tested and built upon. Looking to start my professional career in a collaborative environment where my academic skills are valued and I can contribute effectively.

Educational role focused on teaching coding and computational thinking to primary school students. Experience designing lesson plans and tailoring instruction to individual needs. Background includes collaborative projects and hackathon participation with leadership and time management skills.

Motivated and results-oriented Software Engineer and Computer Science graduate with experience in full-stack development, system design, and software testing. Proficient in object-oriented programming, databases, APIs, and agile workflows, delivering clean, efficient, and maintainable code in collaborative environments. Currently working as a Teaching Assistant and seeking opportunities to contribute to innovative software engineering projects. Based in Australia with full working rights (Temporary Graduate Visa, Subclass 485) until 2028.

A results-driven Full-Stack Developer with a strong foundation in Python, C++, JavaScript, and web development, coupled with international startup and research experience. Passionate about cloud computing (AWS, Microsoft Azure) and agile methodologies, with a commitment to lifelong learning and community-driven innovation. Adept at problem-solving, collaborating in fast-paced environments, and continuously expanding technical expertise.

Motivated Master of Science (Artificial Intelligence & Machine Learning) candidate with hands‑on experience delivering client‑facing software solutions. A candidate with a solid academic/portfolio track record in computer vision, deep learning, and assistive health‑tech prototypes, seeking an AI / Data / Software Engineering internship or graduate opportunity where I can contribute immediately while continuing to grow my applied ML skills.

Motivated and detail-oriented Software Engineer with a Master of Information Technology from the University of Melbourne and hands-on industry experience at Link Group. Skilled in full-stack development using Flutter, Dart, Node.js, SQL, and Firestore, with practical experience building production-level modules, integrating APIs, and optimising system performance. Experienced working in Agile teams, collaborating closely with designers, backend engineers, and stakeholders to deliver reliable, scalable solutions.

Passionate computer science student with hands-on project experience in Python, JavaScript/TypeScript, Java, and cloud technologies. Experienced in building AI-powered tools, web applications, and deployment pipelines using FastAPI, Docker, AWS, and React. Active in student organizations and tutoring roles, focusing on collaboration, software engineering fundamentals, and practical problem solving.

Experience as a Junior Data Engineer/Analyst focusing on automation, ML classification pipelines, and data validation. Proficient in Python, SQL, and Airflow with hands-on work in airline ticket audits and GDS pricing analysis. Strong problem-solving skills demonstrated by implementing fixes to rule validation logic and optimizing automation processes.

Results-driven Data Science and Machine Learning professional with hands-on experience in Python, NLP, RAG pipelines, and LLM-based analytics. Adept at transforming unstructured data into actionable insights through statistical modeling, deep learning, and data visualization. Proven ability to lead projects, collaborate with global teams, and deliver research-driven, production-ready AI solutions.

AI researcher with a Master of IT and Full Stack Software Engineer experience. Skilled in ML, LLMs, cloud infrastructure (Azure/AWS), and technical leadership. Experience spanning from ML research to production-grade system design and deployment.

Software engineer and ML researcher with dual degrees from the University of Sydney, combining full-stack development with deep learning research. Experienced in frontend and backend development (Vue.js, C#, MVC/MVP, SQL) in Azure-based environments, and in end-to-end ML pipelines using PyTorch and Python. Active contributor to research in medical image analysis and a tutor in ML and data science, with strong communication and rapid learning abilities.

Experienced Software Engineer with 25+ years specializing in back-end development, e-commerce platforms, and AI-powered applications. Expertise in Node.js, ExpressJS, API integration, Shopify app development, and emerging AI technologies including OpenAI/ChatGPT integrations. Passionate about leveraging technology to drive innovation in e-commerce, AI solutions, and game development.

Experience in building machine learning pipelines and conducting user behaviour analysis on real-world datasets to inform decision-making. Proficient in statistical analysis, Python, SQL, Docker, and Apache Airflow. Keen to leverage advanced AI and data analytics to solve operational challenges and drive business process innovation in industries such as supply chain and manufacturing.

Analytical, motivated Master of Data Science graduate with hands-on experience in machine learning and applied data science. I design, improve and validate end-to-end data and ML pipelines, including a Repeat Text Check system for document fraud detection that has been handed over to the engineering team and deployed in production. My experience spans NLP and OCR-based document processing, semantic similarity and optimisation, using Python, SQL and modern ML frameworks in cloud and production-like environments.

A recent Oxford master’s graduate and passionate data scientist with 3+ years of research and industry experience in machine learning, mathematical & statistical modelling, AI agents, and data analytics in applied domains. Actively working toward a career in data modelling and applied AI for creative applications! Outside of work, I also sing a cappella, play the piano and dance American Latin!

A results-oriented AI and Automation Engineer specializing in prompt design and intelligent workflow optimization. Passionate about bridging the gap between complex AI capabilities and real-world business needs. Proven ability to design, build, and refine AI-driven systems (for both text and voice) that enhance customer support, automate lead generation, and improve operational efficiency. Eager to leverage deep experience in LLMs and API integrations to solve complex client problems.

Experienced IT professional with 6+ years in full-stack development, cybersecurity, and infrastructure management. Proven track record in international organizations including the United Nations and corporate environments. Expertise in project management, data analysis, and digital communications with strong research and analytical capabilities. Currently pursuing advanced studies in cybersecurity and data management.

Enthusiastic and motivated Computer Science and Statistics student with a passion for software development and artificial intelligence. Proficient in a range of programming languages and tools. Adept at collaborating in team environments and delivering impactful solutions.

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With a postgraduate degree specializing in Artificial Intelligence and 3 years of experience, I bring a unique blend of theoretical knowledge and practical expertise to the table. My academic journey has equipped me with a deep understanding of core concepts, while my professional experience has honed my skills in artificial intelligence, data engineering, analytics, etc. With a passion for innovation, I am committed to leveraging emerging technologies to create meaningful and impactful solutions. Through a combination of academic rigor and real-world experience, I aspire to make significant contributions in the realm of computer science.

Data scientist with hands-on experience in optimization, data integration, and statistical analysis for advertising and market research. Demonstrated ability to automate processes, build ML-backed solutions, and collaborate with legal and compliance teams. Strong programming background in Python, SQL, and cloud technologies with a focus on delivering data-driven insights.

Software Engineer with a Bachelor’s degree in Computer Science and hands-on experience in data preprocessing, web development, and problem solving. Proficient in Python, C, and HTML, with exposure to Microsoft Azure Cloud tools and API integration. Strong communicator and collaborator with experience across academic, commercial, and not-for-profit environments.

AI systems architect with a track record of designing and deploying AI-powered platforms and LLM/RAG pipelines. Experienced in governance, data privacy, and ethical deployment across teams. Skilled in bridging creativity, infrastructure, and enterprise impact to deliver scalable, measurable AI solutions.

Software engineer intern with experience in data platforms, ETL pipelines, and ML/LLM integration across multiple tech stacks. Experienced in designing and deploying microservices, streaming data pipelines, and ML workflow automation. Demonstrated ability to optimize latency, throughput, and scalability in high-traffic environments.

Qualified Advanced Technical Support Specialist with almost 3 years of IT helpdesk and over 5 years of customer service/support experience. Provides comprehensive hardware and software support, such as Windows (OS), PC setup, or Office 365 applications. Adept at engaging customers by identifying issues and streamlining steps to effectively resolve technical issues in a professional manner. Enthusiastic team player ready to contribute to company success.

Results-driven Software Engineer with 5+ years of experience in AI/ML, cloud platforms, and scalable backend systems. Strong foundation in data engineering, infrastructure architecture, and real-time AI deployment. Proven record of delivering high-impact technology solutions across industries including AI, fintech, and blockchain. Adept at leveraging cloud platforms like AWS and Azure, container orchestration, and modern DevOps practices.

Master of Information Technology (Extension) student focusing on backend development and full-stack application design. Experienced in building RESTful APIs, clean backend architectures, and database models with Java, C#, and JavaScript ecosystems. Demonstrated ability to collaborate across academic and workplace environments to deliver reliable software solutions.

Software engineer with hands-on experience building AI agents and multi-agent systems. Experience includes RAG, Langfuse, OpenTelemetry, and cloud-based microservices. Proven ability to reduce latency and improve responsiveness in enterprise AI platforms.

Applied researcher and engineer focused on GenAI. I design and ship LLM and multi-agent systems end to end: RAG pipelines, tool-use planners, and eval/telemetry harnesses that improve accuracy under strict latency and cost budgets. Strong Python/PyTorch with production MLOps/LLMOps on AWS/Azure.

Aspiring software engineer with hands-on experience across full-stack development and cloud. Proven ability to design cross-platform UI architectures and deliver features that improve user engagement and reduce friction in MVP launches. Experienced with AWS services, CI/CD, and agile methodologies, delivering scalable backend and robust frontend solutions.

Bachelor of Computer Science with double majors in Artificial Intelligence and Systems Programming. Planning to pursue a Master of Cybersecurity at UNSW Online while maintaining full-time employment. Experienced in backend and frontend development, AWS, APIs, and AI integration; strong problem-solving, reliability, and collaboration skills.

Software Engineer with hands-on internship experience across backend and full-stack development. Proficient in Python, Flask, Django, Docker, and REST APIs, with exposure to data processing, CI/CD, and cloud services. Demonstrated ability to improve API performance, automate tests, and deliver scalable solutions in fast-paced environments.

Aspiring IT professional with a foundational background in front-end development, AI/ML concepts, and cloud tooling. Experienced in React.js, HTML/CSS/JavaScript, and collaboration on university and industry projects. Proficient in analytics integration and deployment workflows, with hands-on exposure to AWS, Docker, and data-driven experimentation.

Algorithm Engineer with over five years of experience in AI, NLP, and ASR research. Led projects integrating RAG and LLM for on-call chatbots and developed ASR models across multiple languages. Proficient in end-to-end speech recognition, speaker profiling, and model training improvements.

IT professional with experience in software development, consulting, and data-driven solutions. Skilled in building full-stack applications, integrating APIs, designing cloud infrastructure, and delivering automated data pipelines and dashboards. Proven ability to manage technical components of projects in startups, consulting environments, and enterprise settings, with a strong focus on problem-solving and impactful execution.

Early-career AI/ML Engineer with a strong foundation in software engineering, natural language processing, and end-to-end machine learning pipelines. Experienced in building ML systems from data acquisition and curation through to model training, evaluation, and deployment, using Python, PyTorch, and AWS. Skilled in NLP and LLM-based models, algorithm design, and backend tooling, with production-style projects spanning Diplomacy search agents, image-processing and text-generation pipelines, and a React Native mobile app. Strong academic and research background, including a publication in Nature Catalysis and extensive teaching experience, combining deep technical expertise with clear communication and collaboration.

Data Science graduate and applied AI developer passionate about building intelligent, human-centered systems. Founder of Project Juno, an outcome-focused matching platform that combines psychometrics, embeddings, and explainable AI to model compatibility and values. Experienced in machine learning, data pipelines, and LLM-powered applications. Skilled at bridging technical depth with practical design to deliver real-world impact.

Profile highlights: AI & Data Scientist with experience in ML, NLP, and data analytics. Demonstrated ability to build production-ready AI/ML solutions, manage AI projects, and contribute to academic and industry discussions. Experienced in Python, AWS/Azure deployments, data pipelines, and cross-functional collaboration.

I am a software engineer with hands-on experience building REST APIs, frontend interfaces, and AI-driven features. I have led Generative AI integration and delivered performance optimizations across backend services. My work spans Java/Spring Boot, TypeScript/Node.js, and modern frontend frameworks, with a focus on reliability and maintainability.

Passionate Software Engineer specializing in web application development with 5+ years of experience. Currently deepening my expertise in Artificial Intelligence. Along this journey, I’ve built and worked on several AI projects, including AI-Studio engine, DB-agent, salary-prediction model, MediBot AI, ROI Analyst and YouTube VidExtract AI. Beyond tech, I have keen interest on science, astronomy, and philosophy.

Data Engineer / Data Scientist with a software-engineering foundation and practical experience building end-to-end data products, validation pipelines, and machine-learning prototypes. Strengths include scalable ETL, data quality automation, time-series modelling, and deploying lightweight ML services. Proven track record improving team throughput through automation and pragmatic cloud-native tooling.

I’m a data scientist passionate about turning complex ideas into real, working AI systems. My focus lies in applied AI, building and deploying models that deliver measurable value in production. I currently work leading the Analytics and AI engineering effort behind a market research platform. My work bridges research and deployment: integrating large language models, optimising data pipelines, and ensuring the platform scales with client needs.

Master's student in Information Technology with hands-on experience in generative AI and data analysis. Experienced in classifying and tagging multimedia data, cloud data handling, and ML-driven product improvements. Collaborative team player with strong communication and analytical skills developed through internships and research projects.

Senior Business Analyst with 20 years of experience delivering end-to-end requirements, process flows, and documentation for multinational organisations and government departments. Proficient in eliciting, analysing, and validating business needs, producing high-quality documentation and training materials. Demonstrates strong stakeholder communication, mentoring, and project management skills across complex financial, regulatory, and technology projects.

Artificial Intelligence Researcher with specialist skills in large language models (LLMs) as well as skills in data analysis and a wide range of artificial intelligence technologies. Expertise with PyTorch and Keras, and multiple other data science and ML libraries. Adept at identifying novel and creative approaches to solving problems. Reliable team player with excellent communication and problem-solving skills.

Generative AI & DevOps Engineer with 3+ years of experience building enterprise-grade AI systems and cloud-native solutions. Currently leading GenAI Agent initiatives at Accenture (BHP) — architecting end-to-end infrastructure, CI/CD, and MLOps pipelines using AWS, Terraform, and agentic frameworks. Previously drove AI product development and multi-agent platforms at ARLab, combining strong AI engineering with DevOps expertise to deliver scalable, production-ready systems.

An AI and data science professional with a Master’s in Applied Artificial Intelligence, specializing in machine learning, computer vision, robotics, reinforcement learning and Gen AI with hands-on experience in Python, ROS, Azure AI Services, and developing AI pipelines from research to deployment. Work spans academic research, hackathons, and industry projects, delivering innovative and practical AI solutions.

Full-stack Software Engineer with 2+ years of experience building scalable cloud-native systems, distributed backend services, and automation-heavy infrastructure using Python, JavaScript/TypeScript, and AWS. Skilled in API design, microservices, CI/CD, and modern backend architecture. Recently built a multi-tenant retrieval and LLM-powered workflow platform, applying strong systems design, orchestration, and optimisation principles to deliver production-ready AI-driven features.

Software Engineer with 5+ years of experience delivering scalable applications across SaaS, AI, and enterprise platforms. Currently pursuing a Master’s in Data Science with a focus on machine learning, analytics, and backend systems. Proficient in TypeScript, React, Java, GraphQL, Python, and PostgreSQL. Combines technical depth with a strong product mindset, specializing in AI-driven automation, performance optimization, and user-centric design.

Business graduate and founder building AI-powered solutions for SMBs. Proven B2B account manager with a track record of driving client retention, revenue growth, and relationship building. Combines hands-on account management experience with emerging expertise in AI automation and workflow systems. Rapid progression from frontline roles to management positions across three countries.

Dynamic Systems Developer with a background in Computer Science adept in Fullstack development, proficient in utilizing a versatile stack including Javascript, Python, React, NodeJS, and Django. Demonstrated expertise in API management, A/B testing, and databases (MySQL, NoSQL), coupled with a talent for optimizing load speed and steering Agile teams. Spearheaded the development of an internal project management tool, seamlessly integrating data from Jira and Smartsheets. Versatile experience spans survey programming, frontend/backend development, and precise data manipulation with Python libraries (Pandas, NumPy, Matplotlib), driving efficiency and accuracy through automation. Additionally, adept in AI development utilizing Python and AWS SageMaker, empowering advanced machine learning capabilities for transformative solutions.

Data professional skilled in SQL, Python, predictive analytics, machine learning, and AI-powered solutions, seeking a role where I can transform data into actionable insights, build scalable analytics pipelines, and deliver innovative business strategies.

AI Software Engineer with hands-on experience in building cross-platform desktop apps using Node.js, React.js, and Electron. Demonstrated ability to design system architectures and integrate LLMs for intelligent automation and conversational AI in startup environments. Prior internship focused on computer vision model improvements and data augmentation for real-world applications.

Data/AI Scientist specialising in production-grade agentic AI systems, model development, and evaluation/observability frameworks. At Commonwealth Bank, I’ve led multiple end-to-end LLM/agent projects used by millions of customers, spanning orchestration frameworks, evaluation tooling, and monitoring infrastructure. Strong statistical background combined with hands-on engineering experience across Python, Agent Frameworks, FastAPI, and modern observability tools. Proven track record delivering measurable customer and operational impact across GenAI, experimentation, and recommendation systems.

Developer specializing in AI and cryptocurrency development with expertise in MCP server development, SLMs, and the EVM. Experience across blockchain backend and smart contract development, with a focus on CBDC initiatives and web3 infrastructure. Proven ability to build production systems and collaborate across multidisciplinary teams.

AI Operator and former Product Marketing Manager with 10+ years in tech, bridging marketing, Google Analytics for operations, and AI strategy. Skilled in designing agent systems, automation workflows, and GTM playbooks that deliver measurable impact. Focused on helping teams adopt and scale AI-first operations effectively.

Experienced software engineer specializing in AI-enabled systems, ML model deployment, and full-stack development. Proven ability to architect scalable backends, integrate third-party services, and optimize performance in production. Strong cross-functional collaboration across product, design, and engineering to deliver AI-powered features.

Automation Test Analyst with cross-functional experience in DevOps, test automation, and software engineering rotations. Skilled in Playwright, CI/CD, LangChain, and AI-powered document knowledge management. Strong collaboration with product and development teams to drive quality and delivery in Agile environments.

Strategic and forward-thinking Data & AI Engineer with 5+ years of experience in designing and delivering enterprise data solutions across financial services and healthcare. Proven expertise in data architecture, AWS Lakehouse platforms and data modelling. Skilled in SQL, Python, and ETL pipelines, with a track record of mentoring and shaping scalable data ecosystems that deliver measurable customer impact.

Experienced Data Scientist with over 3 years of expertise in AI, cloud technologies, and chatbot development. Proficient in building Python-based applications, integrating NLP solutions, and leveraging AWS services including Lambda, S3, and Elastic Beanstalk. Adept at designing scalable data solutions and delivering impactful results.

Aspiring AI safety and ML engineer with hands-on experience building ML systems, RAG pipelines, and real-time dashboards. Experienced in transformer models, mechanistic interpretability, and risk assessments across Azure/GCP environments. Active in AI safety communities and research bootcamps, with a track record of delivering proof-of-concept systems and technical documentation.

Master’s student in Computer Science with experience in Python, SQL, and data analysis. Skilled at building data-driven solutions, ML models, and collaborating with cross-functional teams to deliver insights. Eager to contribute technical skills and analytical mindset to solve complex data challenges.

Accomplished machine learning engineer with hands-on experience delivering end-to-end ML solutions, data preprocessing, and model deployment. Demonstrated ability to build data pipelines, optimize models, and collaborate with clients to drive business outcomes. Proficient in Python, ML frameworks, and cloud-based data engineering using AWS.

Bruno is an experienced Senior Artificial Intelligence (AI) Consultant and Developer, specialising in Machine Learning and Generative AI. He builds and refines AI models, training them from scratch and enhancing existing ones through fine-tuning and continued pre-training. His expertise includes developing advanced Retrieval-Augmented Generation (RAG) systems, incorporating Agents and complex agentic workflows to create intelligent, context-aware AI solutions. He lives in Australia and is flexible to work across New Zealand as well.

Forward-thinking Data Scientist with 3+ years of experience in developing, delivering and deploying ML/DL solutions, including scalable end-to-end pipelines. Experience in ML solutions development, deployment, and delivery across healthcare, cybersecurity, and e-commerce. Over one year of experience building Generative AI applications including chatbots, RAG and MMRAG.

Senior data and AI leader with hands-on experience architecting end-to-end ML systems, MLOps, and data platforms. Proven ability to translate AI concepts for executives, design production-grade pipelines, and drive cost efficiencies. Strong focus on governance, experimentation frameworks, and cross-functional collaboration to deliver impactful data-driven solutions.

Graduate ML/GenAI Engineer focused on multimodal and federated AI with a strong ability to turn research into production-grade pipelines. Experienced in LLM/VLM fine-tuning, PEFT, and scalable deployment, including safety alignment and evaluation. Proven capability in system design, performance optimization, and building end-to-end AI solutions. Actively seeking roles in ML/GenAI research or applied engineering.

Curious Data Science and AI enthusiast with a Master of Data Science. Experienced in leading data analysis projects in Healthcare, along with data engineering, machine learning, NLP, and artificial intelligence. Proven ability to develop dashboards, perform quantitative analysis, and collaborate with multidisciplinary teams.

Sydney-based engineer focused on LLM agents, RAG, and system integration, with a background in large-scale data engineering. Hands-on with LangGraph, Azure/OpenAI, Vertex AI, MCP, and OCR pipelines (Azure Document Intelligence, Google Vision). Strengths: productionization, latency/cost optimization, robust JSON outputs, and cross-functional delivery.

Hands-on technical leader with expertise across AI/ML systems, blockchain, and full-stack engineering. Recognized by the Australian Government as a Global Talent for contributions in blockchain and AI innovation. Actively engaged in scientific research within blockchain, artificial intelligence, and next-generation wireless systems. Combines academic depth (PhD in Telecommunications) with industry execution to deliver secure, scalable, and intelligent systems. Focus areas include LLM-based agents, AI-enhanced blockchain solutions, and intelligent SaaS architectures.

Generative AI and Computer Vision engineer experienced in building LLM workflows, multimodal pipelines, RAG systems, and production-ready AI applications. Skilled in ViT-based document forensics, prompt engineering, embeddings and AWS tools.

AI Engineer with a PhD in Statistical Machine Learning(ML) and over 2-years of hands on experience in building and deploying end-to-end AI systems. Deep knowledge in Statistics, ML, natural language processing (NLP), retrieval-augmented generation (RAG), intent classification and LLM downstream tasks, especially for zero-shot or few shot classification, model training, fine-tuning and evaluation. Recently developed a fully integrated end-to-end audio chatbot from zero to product and applied latest research CNN-based models in anomaly detection in ECG signals. Familiar with AWS cloud service. Passionate about bridging research and engineering—turning advanced AI methods into real-world, impactful products through collaboration and rigorous system design.

Data and AI enthusiast with experience in data analysis, predictive analytics, NLP, and conversational AI. Proven ability to deliver data-driven solutions that enhance operational efficiency and customer engagement. Experienced in LLM-enabled chatbot development, GenAI integration, and cloud-based AI workflows with a focus on Australian contexts.

Experienced Software Engineer with extensive technology and engineering experience for my PQE, and a diverse history of entrepreneurship and business experience. Skilled at conceiving, advocating for, and delivering innovation that drives improved business outcomes, with a focus on strategic activities that differentiate the business from competitors.

Seasoned ML engineer with hands-on experience building multi-agent AI systems, NLP models, and production-grade AI platforms. Led design and deployment of AI agents, memory management, and vector-based retrieval systems. Strong track record in research and industry projects across healthcare, finance, and education with production deployments and cloud infrastructure expertise.

GenAI Engineer with 5+ years designing, building, and deploying production AI systems. Expert in LLMs (ChatGPT, Claude), multi-agent frameworks (LangChain/LangGraph), and RAG architectures. Proven track record optimising models for production environments, achieving 43% performance improvements while reducing costs by 30%. Strong Python and cloud deployment experience, translating cutting-edge AI research into scalable, production-ready applications.

Generative AI Engineer with a strong background in AI research, ML/DL, and system deployment. Experience deploying AI agents and RAG chatbots, with proficiency in Docker, Kubernetes, CI/CD, and cloud platforms. Demonstrated ability to lead research projects and improve data compression and resource allocation in wireless networks.

Summary of expertise in Machine Learning, GenAI, 3D Object Detection, Computer Vision, GANs, and Transformers. Proficient with PyTorch, TensorFlow, Scikit-Learn, Keras, OpenCV, NumPy, and Pandas. Experience across research and industry roles in AI perception, robotics, and data visualization.

Data Scientist with a PhD in Information Technology (Specialized in Artificial Intelligence) and extensive experience in machine learning, computer vision, and healthcare analytics. Skilled in developing and translating AI and data science research into operational solutions that enhance clinical decision-making and system performance. Proficient in Python, SQL, Power BI, and major ML frameworks, with expertise in deep learning model design, image analysis, and predictive modelling. Strong research background combined with practical experience implementing AI-driven tools in healthcare environments through multidisciplinary collaboration.

Machine Learning and Software Engineer experienced in building intelligent systems, end-to-end data pipelines, and real-time automation using Python, SQL, and cloud services. Skilled in transforming ambiguous problem statements into reliable, well-structured engineering solutions. Strengths include model evaluation, reproducible experimentation, API integration, and production-ready automation. Domain experience across energy optimisation, anomaly detection, ERP engineering, and AI prototyping.

Aspiring software engineer with hands-on experience across full stack development, data processing, and ML projects from university-based roles and internships. Proficient in Python, JavaScript/TypeScript, and modern frameworks, with exposure to Django, Next.js, GraphQL, and cloud/waterfall-style tooling. Demonstrated ability to design scalable backend systems and develop frontend components for multi-tenant applications, research, and hackathon projects.

Senior AI Product Engineer with extensive experience delivering scalable generative AI systems and MLOps pipelines. Built retrieval-augmented generation platforms, multi-region deployments, and production-grade inference endpoints. Skilled in end-to-end AI product development, data engineering, and modern ML workflows across AWS, GCP, and SageMaker.

AI researcher and computational scientist specialising in machine learning, computer vision, and edge computing. Experienced in developing scalable AI models, optimising deep learning architectures, and conducting cutting-edge research in eye-tracking, federated learning, and biomedical applications.

AI Engineer with hands-on experience in generative AI, NLP, and ML model development. Strong background in deploying AI services, fine-tuning LLMs, and building cloud-based workflows. Collaborates with cross-functional teams to integrate AI capabilities into web and mobile applications. Passionate about healthcare and enterprise AI solutions with a focus on scalable, production-ready systems.

Doctoral research in Electrical Computer Engineering focusing on Large Language Models and Computer Vision. Experience as Software Development Engineer with a strong background in multimodal AI research and medical imaging, including developing frameworks and novel prompts for model-based tasks. Demonstrated expertise in model evaluation, data analysis, and cross-functional collaboration across academia and industry projects.

PhD candidate in Machine Learning with a focus on interpretable AI, multi-agent systems, and large-scale data analytics. Experienced in deploying scalable, explainable AI solutions for enterprise clients, with emphasis on reliability, transparency, and risk management. Strong cross-functional collaborator with a track record of translating cutting-edge AI research into practical business impact across finance, compliance, and SaaS domains.

Motivated computer science student with internship experience in industry software development. Demonstrated attention to detail and communication skills through leadership programs and stakeholder collaboration. Experience delivering solutions across web applications and a desire to apply technical skills in a dynamic environment.

Entrepreneurial data & AI-enabled software engineer with full-stack experience and a track record in building AI-powered platforms. Has designed end-to-end data pipelines, ML models for demand forecasting, and production-grade cloud architectures. Strong cross-functional collaboration and product-focused mindset with experience in GTM strategy and vendor/onboarding workflows.

Full-stack developer and AI enthusiast with strong experience designing, developing, and deploying intelligent, scalable systems. Skilled in AI-assisted coding, automation, and full-stack development using Python, JavaScript, Node.js, and React. Passionate about building AI-driven tools and agent frameworks that bridge human decision-making and automation.

Accomplished Principal/Senior AI Software Engineer with extensive experience in training, fine-tuning and deploying AI/ML solutions across multiple industries. Proficient with GenAI, Azure OpenAI, AWS Bedrock, HuggingFace, Langgraph, LangChain, MCP, and LLamaIndex. Strong track record in building distributed microservice architectures, RESTful APIs, and front-end tech stacks; skilled in CI/CD and DevOps practices.

AI Engineer / AI Solution Architect with 4+ years delivering production AI/ML systems and 15+ years in enterprise & cloud platforms. I design, code, deploy and operate end-to-end AI services in Python on AWS, from model training and feature engineering through to FastAPI microservices, CI/CD, observability and multi-tenant security. Founder of SalesConnect 360, a multi-tenant AI SaaS platform in production (Apple-approved mobile app + web portal). Comfortable working across the full stack: data pipelines, ML models, backend APIs, infrastructure, and monitoring.

Proven AI/ML and Software Engineering professional with expertise in building scalable data and AI solutions, leading cross-functional teams, and delivering high-impact projects. Seeking a Lead role where I can drive technical strategy, mentor engineers, and leverage my experience in MLOps, Databricks, and AI innovation to deliver measurable business outcomes.

A certified Professional Solution Architect with 10+ years in Software Development, Configuration, Requirements mapping, Coverage analysis and ensuring client satisfaction by delivering high quality software in every industry. A self-motivated professional with quick grasping skills and a can-do attitude with keen observation skills and strong Attention to detail. Research Assistant doing PHD (Blockchain). Having entrepreneurial mindset and business skills.

Senior AI Engineer bridging research, design, and production. Rapidly ships AI products by reading the latest papers, implementing novel approaches, and iterating with users. Experienced in leading multi-country teams and delivering enterprise-scale AI solutions.

Software engineer with experience across data engineering, AI/ML, and cloud-based solutions. Proficient in Python, SQL, and full-stack tooling with exposure to LLMs, RAG, and CI/CD. Demonstrated ability to lead projects, improve ETL pipelines, and build end-to-end AI agent systems for incident resolution and threat detection.

Senior Machine Learning Engineer with experience designing scalable ModelOps architectures and working across data ingestion, feature engineering, model development and deployment. Proficient in cloud-based ML tooling (Azure, AWS, GCP), Databricks, Airflow, and collaborative cross-team execution. Led initiatives to deliver business value through machine learning assets and automation, with strong emphasis on planning and stakeholder alignment.

Solve socially relevant challenges through my expertise in Artificial Intelligence and Machine Learning, which enables me to grow professionally and enhances my research skills.

AI/Mechatronics Engineer with 2.5 years of experience in autonomous systems, model optimisation, and real-time control. Proficient in C++, Python, MATLAB, with strong expertise in real-time control and sensor integrations. Experienced deploying automation across AU/US, writing SOPs, and integrating in a factory setting. Passionate about scalable autonomous systems—combining embedded control, AI model deployment, and agent-based automation for real-world applications.

Passionate full-stack developer with professional experience delivering web applications across multiple domains. Highly skilled in JavaScript (React, Vue), TypeScript, Java Spring Boot, HTML5/CSS3, SQL/PostgreSQL, RESTful APIs, GraphQL, AWS, Linux, and CI/CD, with a strong foundation in software design, testing, and deployment in Agile environments. Fast learner and collaborative problem-solver, passionate about exploring new technologies and building innovative solutions.

Microsoft-certified Junior software engineer with 1year hands-on experience building and deploying production-ready AI applications, with strengths in Python, data-driven features, and cloud-native delivery in small, fast teams. Shipped conversational AI assistant with multi-Agents and pricing models that reduce customer wait times from 10–15 minutes to instant answers and achieved 79% ML accuracy through cross-validation and collaborating across technical and non-technical teams. Comfortable with Git, CI/CD, containers, and Agile ways of working providing services scalability.

Experienced AI Engineer and Senior Software Engineer with over 2 years of hands-on experience building and orchestrating AI agents for automated software testing, multi-agent systems, and language model fine-tuning.

I am a Software Engineering graduate from UNSW, seeking a role where I can apply my technical, analytical, and communication skills. I am passionate about software development, cloud computing, and data analytics. I am a fast learner and keen to develop new skills when given an opportunity.

Builder at Heart with 3-5 years experience spanning the entire SDLC. Proficient in multi-stack environments, cloud-native practices, and establishing AI workflows. I'm the person who fixes and improves what's broken, and consistently ships features on time. Recognised for my Disciplined Execution, Communication, Tech Ideas, Technical Mentorship, and Documentation Practices, I thrive in mission-driven teams and excel at effective communication and stakeholder management.

Results-driven Front-End Developer and Master of IT graduate with experience in MERN stack, UI/UX design, CI/CD pipelines, and cloud technologies. Currently contributing at an AI-powered startup and finalist in Telstra Business Award 2025 Queensland. proficient in delivering scalable, user-centric digital products with cross-functional teams.

AI/ML Engineer with end-to-end experience taking machine learning projects from problem definition to deployment. Skilled in building data pipelines, developing deep learning models (CV, NLP, multimodal), designing REST APIs, packaging models, and deploying them across cloud and local environments. Proficient with TensorFlow, PyTorch, Transformers, LangChain, and Python data engineering, supported by CI/CD workflows on AWS SageMaker and GitHub Actions. Delivered practical results in computer vision, NLP, and RAG systems with clean engineering, reproducible workflows, and scalable processing. Seeking ML/AI engineering roles where I can build and deploy real-world AI systems end to end.

Senior Service Delivery and Major Incident Management leader with 15+ years’ experience safeguarding mission-critical banking, payments, and enterprise systems across regulated financial environments. Renowned for commanding high-severity incidents, leading multi-vendor response bridges, and restoring services under extreme time and regulatory pressure. Highly trusted by executives and regulators for clear, composed communication during outages, rigorous root cause analysis, and long-term operational risk reduction. Proven ability to stabilise complex platforms through automation, process improvement, and disciplined incident governance.

Mid-level Full-Stack & AI Engineer experienced in building scalable web applications with React/Next.js, .NET 8, and RESTful APIs, combined with strong skills in AI integration including RAG pipelines, multi-agent systems, chatbots, and computer vision. Proficient in cloud deployment using AWS and relational databases with PostgreSQL. Hands-on experience in Agile Scrum environments with a focus on code quality, testing, scalability, and collaboration.

Software engineer with hands-on experience in Python, FastAPI, Docker, and PostgreSQL. Worked on automation, real-time data pipelines, and full-stack projects with React, Node.js, and microservices. Pursuing AI and ML-focused roles leveraging RAG, embeddings, and cloud deployments.

A Software Developer with industry experience at Outpost Ventures and a driven Master of Information Technology graduate from RMIT, with practical, hands-on experience across full-stack development. I specialise in front-end technologies such as React, JavaScript, and TypeScript, and back-end development using NodeJS. I am recognised for delivering high-quality, maintainable solutions and adhering to best practices in front-end engineering, performance optimisation, and scalable development. With a proactive approach to problem-solving and a strong focus on continuous improvement, I am eager to leverage my technical skills and collaborative mindset in a technical role, contributing effectively to team success and organisational growth.

Experienced backend engineer with a focus on cloud platforms, Kubernetes, and network virtualization. Proficient in Golang, Python, Java, and JavaScript, with hands-on work deploying virtual machine management platforms and RESTful APIs. Demonstrated ability to optimize data planes, implement CI/CD pipelines, and operate across large-scale deployments. Strong collaboration across infrastructure and development teams to deliver secure and efficient systems.

Data-focused AI engineer with hands-on experience delivering PoCs and production-ready AI solutions. Led technical development across R&D to production, including multi-agent architectures and LLM integrations. Demonstrated ability to scale prototypes to enterprise deployments and collaborate with cross-functional teams. Experienced in governance, compliance, and stakeholder engagement in fast-paced tech environments.

Recent IT graduate with hands-on experience in project management, data analysis, and software development. Demonstrated ability to lead data-driven initiatives, build prototype applications, and streamline agile workflows. Experienced in Android development, AR/VR research, and AI-enabled solutions with a focus on reliability and scalability.

PhD-qualified Data Scientist with 3+ years’ experience delivering machine learning and LLM solutions. Demonstrated ability to drive measurable business value, including ~$1.5M annual cost savings, 94% reduction in complaints, and an 87% reduction in policy verification time. Strong end-to-end capability across analytics, ML modelling, LLM fine-tuning, cloud deployment and stakeholder communication.

Senior Data Scientist with over 16 years of experience delivering advanced analytics and machine learning solutions across manufacturing, telecommunications, and financial services. Skilled in end-to-end ML pipeline development, MLOps, and production-grade deployments using Azure ML and cloud platforms. Adept at translating business objectives into scalable, data-driven solutions with stakeholder engagement and actionable insights through modelling and data visualization. Experienced in applying predictive modelling, statistical optimisation, and emerging Generative AI techniques to solve complex business challenges.

Dynamic and results-driven Master's graduate in Information Technology, equipped with extensive expertise in web development, Power Apps, and Power Automate workflows. Demonstrates a proven track record of designing and implementing comprehensive web applications that enhance business efficiency and streamline processes, achieving significant time and error reductions. Skilled in data analysis and visualization, delivering actionable insights that drive strategic decision-making. Adept at merging technical acumen with strong communication skills to effectively meet business needs and provide innovative solutions. Committed to continuous learning and building impactful digital solutions that foster organizational growth.

Results-driven DevOps Engineer with 5+ years of experience designing, implementing, and managing CI/CD pipelines, infrastructure automation, and cloud-based solutions. Proficient in tools like Docker, Kubernetes, Jenkins, and AWS, with a strong focus on improving deployment efficiency and system reliability. Skilled in collaborating with cross-functional teams to streamline development processes and ensure scalable, secure, and high-performance systems.

Fullstack Developer specializing in React, Next.js, and Node.js. I build complete product lifecycles from UI architecture and APIs to deployments, caching layers, AI tools, and real-time features. I focus on clean, reliable engineering and delivering fast, intuitive experiences that users immediately feel.

Senior software professional with 7+ years of experience delivering 40+ scalable mobile and web applications across diverse industries. Strong expertise in designing and driving complex systems using scalable architecture and clean design patterns. A continuous learner with a habit of gaining insights through technical reading, enabling a deep understanding of varying customer needs and translating them into high-quality, user-centric solutions. Experienced in collaborating with culturally diverse teams, leading with clear communication, structured documentation, and a results-driven mindset.

Recent Computer Science (Cybersecurity) graduate with strong skills in cybersecurity, software development, and cloud technologies. Seeking an entry-level role where I can apply my technical knowledge, problem-solving ability, and passion for secure, scalable systems.

Results-oriented and innovative software engineer with extensive experience specializing in high-performance microservices and full-stack development. Currently working in Australia’s logistics technologies sector, with expertise in Go, Kafka, Redis, TypeScript, React.js, and Kubernetes. Proven track record of architecting scalable systems and managing cloud-native infrastructure. Successfully delivered nearly ten robust and mature projects with mission-critical applications.

Full Stack Software Engineer with 3+ years of professional experience building scalable applications using React.js, Next.js, TypeScript, and Nest.js. Currently delivering high-performance enterprise solutions at ANZ Bank, with proven success improving application performance by 40% and achieving 85%+ test coverage. Strong expertise spanning frontend UI development with React/TypeScript and backend API development with Nest.js and Express.js. Experienced in consuming and building RESTful APIs, implementing responsive components, and working with microservices architecture. Passionate about creating accessible, user-centered applications with clean, maintainable code.

Senior Full Stack Engineer with 7+ years of experience leading end-to-end development of scalable digital products from architecture design to production deployment. Highly experienced in TypeScript, ReactJS, and NodeJS with a proven track record of delivering enterprise applications serving 40,000+ users with 99.5% uptime. Demonstrated ability to establish 90%+ code coverage and lead technical decision-making across full project lifecycles. Innovative focus on AI-driven solutions, RAG systems, and machine learning integrations.

Master’s in AI student at RMIT with 3 years of software development experience, including 1 year as a Senior Software Engineer. Passionate about AI and data science, with a focus on leveraging emerging technologies to create impactful solutions. Dedicated to continuous learning and contributing meaningfully to projects and teams.

Experienced Full-Stack Developer with strong proficiency in building scalable web applications using Vue.js, Node.js, Express, and advanced UI frameworks. Skilled in real-time communication, middleware services, and extensive database management with MongoDB and OpenSearch. Proficient in front-end technologies including ReactJS, TypeScript, JavaScript, and testing with Jest; experienced in Agile environments and DevOps practices.

Fullstack Software Engineer with 7+ years of experience building scalable web apps and backend systems. A 3-year AWS Community Builder with deep knowledge of AWS services, cloud-native deployments, and clean, maintainable architecture. Strong in Java (Spring Boot), TypeScript, React.js, Node.js, Python and Go, with expertise in REST/GraphQL APIs and microservices. Former Tech Lead at a Fortune 500 company, now innovating at Nine Entertainment Co, Australia.

Lead Engineer with full-stack experience in AI-enabled contract review platforms and IoT/operations management. Proficient in FastAPI, React, PostgreSQL, Docker, and cloud tools; skilled at designing end-to-end architectures, secure data pipelines, and scalable microservices. Experienced in implementing real-time dashboards, subscription billing, and high-performance recovery features.

Senior Software Engineer with 9+ years in .NET, React.js, and Microsoft Azure. Skilled in full-stack development, cloud architectures, and secure workflows. Increased application performance by 35% within 6 months through optimised cloud deployments, automation, and scalable solution design, improving user experience and reliability.

Software Engineer with over 4 years of experience in full-stack development using JavaScript, TypeScript, Python, and Java, designing and delivering scalable, secure, and high-performance software solutions across cloud and enterprise platforms. Skilled in end-to-end product development, system integrations, and data-driven problem solving. Recognised for strong collaboration, customer-focused delivery, and the ability to operate in fast-paced, dynamic environments. Passionate about continuous learning, innovation, and building solutions that balance usability, scalability, and data security.

Versatile and results-oriented Software Engineer with over two years of hands-on experience across full-stack development, machine learning, cloud infrastructure, and DevOps practices. Proven track record of delivering high-impact solutions as a core contributor to the technical success of three Australian startups. Adept at designing and building scalable, user-centric applications with a strong emphasis on performance, security, and maintainability. Recognized for combining creative problem-solving with a rigorous engineering mindset, and driven by a passion for innovation, cross-functional collaboration, and continuous learning in dynamic, fast-paced environments.

Results-driven software engineer with expertise in C++ development, cross-platform systems, and performance optimisation for large-scale game engines. Skilled in debugging, profiling, and optimising code for scalability across consoles and mobile. Experienced in UI implementation, feature integration, and agile collaboration with designers, QA, and cross-functional teams. Currently expanding into full-stack development (React, Express, Spring Boot, Django) and embedded engineering, motivated to apply strong systems-level knowledge to new domains.

Enthusiastic and detail-oriented Master of Cybersecurity student with a solid foundation in software development and hands-on experience in vulnerability assessment, secure system design, and risk management. Proficient in leveraging machine learning techniques for advanced threat detection and implementing secure coding practices to mitigate risks effectively. Demonstrates a strong commitment to applying technical expertise and innovative problem-solving skills across both software engineering and cybersecurity domains. Passionate about contributing to organizational goals by aligning with company vision and core values to drive positive impact, enhance digital safety, and foster technological efficiency.

Results-driven IT professional with a Master of Information Technology from RMIT University and over four years of software engineering experience. Skilled in backend and Full-Stack Development, database systems, and algorithmic fairness research. Experienced in delivering scalable FinTech solutions and supporting academic teaching in IT disciplines at Monash University. Passionate about building ethical, data-driven, and impactful technology solutions.

Impact-driven Software Engineer / Engineering consultant with 3.5 years of experience delivering full-stack web applications, automation solutions, and production support in Agile/Scrum environments. Skilled in Angular (v8–latest), Node.js, Python, Bash scripting, and Microsoft Azure, with full Australian work rights. Strong track record in API integrations (REST, MuleSoft, Twilio, AI APIs), workflow automation, and system monitoring—consistently improving uptime, performance, and operational efficiency. Adept at building secure and maintainable applications while collaborating with cross-functional teams to achieve measurable business outcomes.

Profile highlights scalable backend engineering and full-stack development across Python (FastAPI/Flask/Django) and JavaScript (React, Node.js). Experienced in cloud-native deployments on AWS and GCP, DevOps and CI/CD, API security, and performance tuning. Demonstrated ability to lead end-to-end delivery, design complex multi-tenant architectures, and drive production reliability in fast-paced environments.

Senior Software Engineer with 15+ years of experience in full-stack development, specializing in .NET, APIs, and cloud-based solutions for financial services, treasury, and various industries. Microsoft-certified Azure Developer Associate with expertise in CI/CD pipelines, containerization, and scalable architecture. Adept at delivering robust, secure, and maintainable software solutions while collaborating in Agile teams. Skilled in TDD/BDD practices, driving innovation, and reducing manual processes to deliver high-performance systems.

Full-stack Developer with four years scaling ERP and payment systems, delivering 25% efficiency gains through automation and building integrations informed by direct user feedback. AWS and API integration expert with demonstrated business impact.

Senior full-stack developer and technical leader with over 6 years of experience. Specializes in building scalable applications using Node.js, Python, and Flutter. Experienced in MongoDB architectures, microservices, Docker and Kubernetes, and leading teams to deliver high-availability systems and zero-downtime deployments.

Curious Engineer who loves building, experimenting, improving, and breaking systems. Always eager to learn and step outside the comfort zone. Not limited to one technology or programming language — I’m always open to exploring new ones.

Front-end Developer with 3+ years of experience creating scalable and responsive web and mobile applications using React, Next.js, TypeScript, and React Native. Skilled in modern development workflows, UI libraries, blockchain integration and AI tooling. Passionate about clean architecture, component reusability and intuitive user experiences.

Recent postgraduate in software development and data analysis with internship and industry project experience. Passionate about programming and leveraging AI tools to improve productivity while ensuring accuracy. Experienced in Agile environments, RESTful APIs, and data analysis workflows, with exposure to multiple programming languages and tools.

Experienced software developer with hands-on experience in full stack development, DevOps, and cloud migrations. Proficient in Next.js, TypeScript, Node.js, and AWS, with a track record of improving performance and deployment efficiency. Demonstrated ability to build scalable backends, implement real-time features, and migrate services to cloud infrastructure. Strong collaborator with cross-functional teams to deliver robust software solutions.

Seasoned software engineer with extensive experience designing and orchestrating high-throughput data pipelines on AWS and modern frameworks. Proven ability to lead migrations and adopt new technologies to improve performance and maintainability. Strong focus on security, reliability, and DevOps practices with hands-on backend and frontend delivery across multiple tech stacks.

Senior Frontend Engineer with 5+ years delivering high-performance, real-time web applications using React, Next.js, and TypeScript. Strong fundamentals-first approach with depth in UI architecture, state management, data visualisation, and performance optimisation. For the past three years, I led as an end-to-end technical lead for Vigilum—a real-time industrial surveillance platform—where I architected the system and database, led development, and delivered an integrated suite of tools spanning video monitoring, sensor telemetry, alerting, compliance, and reporting.

Experienced full-stack developer with a track record of architecting high-performance real estate data platforms and delivering end-to-end web applications. Proficient in front-end frameworks (React, Angular, Next.js) and back-end technologies (Node.js, Express, ASP.NET Core), with strong emphasis on data modeling and CI/CD. Demonstrated ability to optimize performance, implement robust security, and collaborate with UX/UI designers to deliver responsive applications.

Dedicated and experienced Software Engineer with over 5 years of expertise in designing, developing, and deploying robust software solutions. Skilled in full-stack development, RESTful APIs, and cloud infrastructure. Passionate about delivering high-quality code and exploring innovative technologies.

Software engineer with hands-on experience in Java, RESTful APIs, and microservices. Proficient in CI/CD, Docker, Kubernetes, and secure authentication. Experienced in Agile practices and delivering backend solutions across multiple domains.

Passionate, pragmatic engineer with 10+ years in backend engineering, specialising in AWS serverless and Node.js to deliver high-impact systems in complex domains. I developed and led event-driven architectures for mission-critical invoicing and settlements platforms, while mentoring teams, standardising patterns, and constantly looking for opportunities to improve reliability, speed, and developer experience.

Senior Full Stack Developer with 8+ years of experience in designing, developing, and deploying robust web applications and end-to-end solutions. Experienced leader who independently manages projects, mentors junior developers, and resolves complex technical challenges within Agile teams. Skilled in AI innovation and integrating intelligent features to drive business value, with a focus on clean code and scalable, user-friendly software.

Full Stack Developer with 5 years of experience delivering scalable web apps, APIs and automation systems across logistics, robotics, and publishing. Skilled in leading teams, integrating complex systems, and building client-focused contact solutions with modern technologies. Experienced in managing client relationships and guiding distributed development teams.

Seasoned software engineer with leadership experience building and stabilizing complex, scalable systems. Experienced across full-stack development, DevOps, and cloud infrastructure with a focus on performance, reliability, and security for government and enterprise use. Proven ability to manage distributed teams and deliver features on tight deadlines across multiple domains.

Experienced Frontend Developer with 8 years of expertise in JavaScript, React, and modern web technologies. Proven ability to lead teams, optimize performance, and develop scalable web applications. Strong background in machine learning and cloud technologies.

Full Stack Developer with 3+ years of experience delivering scalable, user-focused web applications using React, TypeScript, Node.js, and AWS. Master's degree in IT from Monash University, with hands-on Agile project experience in Australia. Proven ability to integrate AI APIs, design efficient architectures, and deploy production-ready solutions. Passionate about solving problems with clean, maintainable code.

Software Engineer with 7+ years’ experience expertise in C#, ASP.NET, .NET Core, SQL Server, and cloud-based application development. Successfully delivered 20+ enterprise-level projects, leading design, development, testing, and deployment activities. Experienced across the SDLC, agile environments, AWS, Azure DevOps, CI/CD pipelines, and database design. Recognized for troubleshooting complex issues, improving code quality, and mentoring junior developers.

A highly motivated full-stack developer with more than 8 years of experience in software development, including more than 2 years in full-stack development and technical research. Proven expertise in software engineering, research, and teaching. Notable contributions include developing water ordering software for Australia’s largest rural water corporations and improving server-side clearing efficiency for a web-based system.

Software Developer with hands-on experience building full-stack applications using AWS, Azure, and cloud services. Proven ability to optimize performance, implement scalable architectures, and leverage AI tools to accelerate development. Experienced in CI/CD, microservices, and cross-functional collaboration to deliver high-quality software.

As a full stack engineer with 5 years of experience, I specialize in building and maintaining both the front and back ends of web applications. I work with databases, APIs, servers, and user interfaces to ensure seamless functionality, delivering high-quality work under pressure while consistently meeting deadlines and targets.

Over 8 years of experience in IT-Software Development and Data Science projects with hands-on expertise in Java, Node.js, Angular, React, TypeScript, and API-led architectures. Proficient in building intelligent agents, end-to-end AI solutions, and CI/CD pipelines with AWS & Azure DevOps. Experienced in data science using Python, R, and SAP Leonardo ML APIs, with background in SAP Conversational AI and Generative AI. Published research, active in SAP-related hackathons and presentations.

Results-driven Senior Full Stack Engineer with deep expertise in the React and Node.js ecosystem. Proven ability to architect and build complex, scalable web applications from the ground up. I combine advanced hands-on coding with a commitment to software craftsmanship, driving code optimization, implementing robust testing strategies, and providing technical mentorship to ensure the delivery of high-quality, maintainable software.

Technical Lead and full stack software engineer with contracting experience for startups, agencies and government. Built modern web products across React, NodeJS, Vue, AWS, and ML tooling. Mentored junior developers and guided technical vision to align with long‑term goals and best practices.

Full-stack developer with 3+ years of experience. Skilled in applying machine learning, generative AI, and DevOps practices to deliver scalable, high-performance solutions across web and mobile platforms. Experience spanning React Native, TypeScript, frontend/backend integration, and CI/CD automation to support diverse domains.

I've lived and breathed code for over a decade — from academic and professional work to personal projects and startup ventures. I'm a hands-on problem solver with a deep toolkit in full-stack software development, data science and machine learning. With a Computer Science bachelor's and a Master of IT, I thrive on applying my skills to build practical, real-world results. This blend of deep technical knowledge and a results-driven approach makes me the perfect candidate to make a tangible impact in a challenging new role.

Results-driven Software Engineer with a Master of IT (Software Design & Development) and 3+ years of full-stack experience, specializing in React, Node.js, and cloud-native applications. Experience includes optimizing high-performance systems, leading cross-functional Agile teams, and implementing AI-driven recommendations with measurable gains. Proficient in AWS serverless architectures, CI/CD pipelines, and DevOps principles, with a track record of mentoring juniors and achieving high test coverage.

I am a full stack software developer with 13 years of experience across sectors like SaaS, ERP, e-commerce, and finance. My journey from sales to entrepreneurship has taught me adaptability, resilience, and teamwork. I value every challenge as a chance to learn, improve, and contribute meaningfully through collaboration and innovation.

Software developer with experience across the full SDLC, migrating legacy .NET systems and modernizing integrations. Led end-to-end development of financial web products using Vue.js (frontend) and Node.js with TypeScript (backend). Proficient in designing responsive web apps, integrating external services (Salesforce), and securing cloud infrastructure with Azure and AWS tools.

A dedicated Full Stack Developer with 5+ years of experience delivering scalable, high-quality software across web and mobile platforms. Skilled in modern JavaScript/TypeScript frameworks (React, Next.js/T3 stack), Python (FastAPI), and API-driven architectures. Experienced in cloud-native development using AWS, integrating AI/ML services, and building secure authentication flows. Strong problem-solving, communication, and stakeholder-management skills in agile environments.

Senior Tech Lead / Cloud, AI, DevOps, and Full Stack Engineer with 14+ years of experience designing and delivering scalable, cloud-native, microservices based enterprise systems. Strong expertise in .NET (Core/8), React, Angular, Cloud (Azure & GCP), DevOps, and event-driven architectures, with recent hands-on experience integrating AI/LLMs into production systems. Proven technical leader delivering high-volume, mission-critical platforms in the Australian market.

Innovative and results-driven Senior Software Engineer with 14+ years of experience in designing, developing, and leading scalable, high-performance software solutions across enterprise and startup environments. Specializing in full-stack development, microservices, cloud (AWS/AZURE), DevOps, and IoT. Passionate about engineering best practices, performance optimization, and distributed systems. Adept at mentoring engineers and driving high-quality, scalable solutions.

Senior Full Stack Engineer with over 10 years of experience in web and mobile application development. Proficient in React, React Native, Node.js, Express, Sails.js, and GraphQL. Experienced in managing full project lifecycles and deploying on AWS and Heroku.

Full Stack Developer with 3+ years of experience delivering scalable applications across both frontend and backend systems. Proficient in React, Node.js, and Python (Flask) for building dynamic user interfaces and RESTful APIs. Extensive experience deploying microservices on AWS, integrating authentication and payment workflows, and streamlining releases with CI/CD pipelines.

Software Engineer with solid academic and research experience in AI, computer vision, and backend development. Skilled in Python, Flask, Docker, and AWS, with a strong foundation in building real-time systems and cloud-based applications. Fast learner with a passion for solving real-world problems through clean and efficient code.

Senior software developer with experience leading end-to-end release planning, optimizing CI/CD pipelines, and modernizing legacy systems. Proficient in full stack development across PHP, Ruby on Rails, JavaScript (ReactJS, NodeJS), and various databases. Experienced in team leadership, SDLC, and solution architecture with a focus on reliability and scalability.

Full-stack engineer with 8+ years of experience delivering scalable backend systems, performant frontend applications, and cloud-native architectures across AWS and Azure. Adept at leading engineering initiatives, mentoring junior developers, and delivering measurable outcomes. Experienced in designing event-driven systems, establishing CI/CD pipelines, and building developer-first solutions that align with business goals. Experienced across high-growth teams, not-for-profit governance, and product-led initiatives.

Motivated and resourceful Software Developer with 12+ years of IT experience spanning enterprise systems, cloud applications, and full-stack web development. Recognized for improving system performance, enhancing user interfaces, and contributing to product revenue growth. Skilled in agile delivery, modern frameworks, and DevOps practices with a proven record of collaboration across cross-functional teams.

Software Engineer with experience in building scalable and distributed systems using Event-Driven Architecture with Ruby on Rails, Python, PostgreSQL and AWS. Expertise in Business-Driven Development and Test-Driven Development, with a strong focus on delivering value for money. Excellent communicator and team player with system design and CS skills.

Passionate software developer with extensive experience across Python, PHP, SQL, and JavaScript. Focused on readable code, scalable microservices, and DevOps practices to reduce maintenance. Demonstrated ability to lead, automate tasks, and collaborate across cross-functional teams to deliver high-quality software.

Analyst Programmer with extensive experience spanning from 2016 to 2025 in Hong Kong and Australia. Proficient in a broad range of languages and frameworks, including Rust, JavaScript/TypeScript, C#, Python, and SQL, with strong abilities in security, performance optimization, data scraping, and R&D. Demonstrated capability as a project architect and implementer, with experience across backend, frontend, and intranet/system integration, plus hands-on work on production-grade infrastructure and AI-related pipelines.

Highly skilled and versatile IT professional with over 25 years of experience across diverse industries. Proven expertise in full-stack software development, legacy system modernization, enterprise architecture, database design, and cloud technologies. Adept at managing complex projects, collaborating with cross-functional teams, and delivering scalable, secure, and high-performance solutions. Committed to continuous learning and staying current with emerging technologies.

Senior Full Stack Developer with 15+ years’ experience delivering enterprise-grade solutions for government and private clients. Proven expertise in cloud-native applications, API integration, mobile development, and modernisation of legacy systems. Adept at mentoring teams, leading Agile delivery, and deploying scalable applications on AWS, Azure, and Oracle Cloud.

Staff Software Engineer with 20+ years building enterprise-grade systems for IoT and FDA-regulated medical devices, specialising in backend architecture, system stabilisation, and scalable platform development. Proven track record transforming unstable production systems into reliable infrastructure, most recently architecting custom JWT authentication system with MFA and hierarchical permissions, replacing Google Firebase through zero-downtime migration. Combines deep technical expertise with leadership capabilities, including interim Head of Engineering for a 19-person team, and a focus on HIPAA-compliant architectures and engineering best practices.

Full Stack Engineer with over 10 years of experience building SaaS platforms using React, Node.js (NestJS/Fastify), TypeScript, and AWS. Experienced in leading development teams, designing microservices, and automating deployment processes. Skilled in migrating legacy services, implementing CI/CD, and delivering high-quality software solutions.

10+ years of experience in designing, developing, and implementing IT solutions across multiple domains, including Healthcare, Logistics, Energy, and Oil. Expertise in full-stack development, API design, UI development, and performance optimization. Strong coding skills in ASP.NET Core, C#, Java Microservices, ReactJS, TypeScript, NodeJS, and AWS Serverless Framework. Hands-on experience with cloud solutions (AWS), SQL & NoSQL databases, and DevOps practices. Adept at architectural design, system integration, and Agile development. Proven ability to lead and coordinate release activities, cross-functional collaboration, and technical documentation.

Seasoned AI/ML professional with a track record of building and deploying multi-agent AI systems, MLOps pipelines, and scalable data processing solutions. Experienced in Azure OpenAI, AWS, GPU-accelerated inference, and production-grade ML workflows. Strong focus on delivering end-to-end AI capabilities across APAC projects with measurable improvements in search, knowledge bases, and user interactions.

Seasoned Software Engineer and Technical Leader with over 20 years of comprehensive experience designing, developing, and managing large-scale, high-availability web applications and backend systems. Proven expertise in full-stack development, distributed systems architecture, and API design, translating complex requirements into robust, scalable solutions. Demonstrated leadership as a Co-founder & CTO, guiding product development from concept to launch in a startup environment. Adept at revitalizing legacy systems and driving technical strategy across diverse domains including recruitment, domain management, and real-time collaboration.

Senior Software Developer and Lead with 11 years of experience across FinTech, Payment Gateway, and Banking domains. Skilled in SDLC, automation, designing, developing, and optimizing scalable, high-performance applications that solve complex business problems. Always eager to learn, innovate, and grow globally.

Senior Software Engineer with 17+ years of experience building cloud-based systems across banking, telco, and digital services. Skilled in Node.js, TypeScript, and AWS serverless tools, with strong knowledge of APIs, data transformation, and system integration. I focus on writing clean, secure, and well-documented code, and enjoy working with cross-functional teams to deliver high-impact products. I thrive in fast-paced environments where good ideas and strong execution matter most.

Hands-on engineering leader and principal software engineer with 8+ years delivering full-stack, microservices-based, distributed, and cloud-native systems across fintech, e-commerce, and enterprise. Skilled in agentic AI frameworks, GenAI platforms, LLMOps pipelines, and multi-agent orchestration, applying them to real-world projects while driving SRE practices, CI/CD, and high-availability architectures. Combines deep technical software expertise with team leadership, mentoring high-performing engineers, and building scalable, secure, and high-impact systems. Passionate about innovative AI-driven solutions that integrate seamlessly with enterprise-grade software and operations.

A solution-focused engineer and technical leader with strong experience leading and working in teams from a range of countries, backgrounds, and skill levels. While tackling large and small projects as a contracted Solutions Consultant across a range of industries, I’ve honed the strong communication skills and on-the-fly strategy creation that has allowed me to excel at understanding and leading teams or individuals to achieve to their full potential. Extremely adaptable, every company has cultural differences and nuances, and I’m not shy about adapting my skills to meet the demands of the environment, team members and leaders that I work with. I have extensive domain knowledge within the FinTech, SaaS and eCommerce industries, and a strong domain knowledge within the Fabrication and Safety industries. Always looking to push myself further, I’m constantly refining my technical and leadership skills through self-reflection, constant iterative experiments, joining discussions and panels, and by working with a breadth of people from all walks of life.

Mid-to-Senior Level Full Stack Developer with 10 years of industry experience, including 5+ years of hands-on expertise in .NET Core, C#, Angular, SQL Server, Azure, and Vue.js. Strong knowledge of cloud-native architecture, API development, and Agile methodologies, with a proven track record of delivering scalable, secure, and high-performance solutions across government, education, and healthcare sectors in Australia. Demonstrated ability to lead feature development, system integrations, and performance optimization across complex enterprise systems. Recently delivered mission-critical, cloud-integrated applications for Victoria Government (DEECA), including cross-platform integrations using Azure Service Bus and secure API-driven architectures.

Technology professional with extensive experience in audio / visual technologies and development disciplines. Focused on prototype and product design, solution provisioning, and digital media. Experienced in IT development using JS libraries and AWS; led production and design initiatives across multiple projects.

Full-stack developer with extensive experience building and deploying web applications using modern JavaScript technologies. Proficient in SKILLS JAMStack Architecture and AWS cloud services with CI/CD pipelines. Strong problem-solving, collaboration, and leadership abilities demonstrated across multiple teams.

Full Stack Software Engineer with a decade of experience architecting and scaling SaaS products across automotive, visitor management, and event planning. Specialized in cloud-native systems (AWS, GCP) and taking products from MVP to high-traffic, production-ready platforms. Proven track record in leading cross-functional teams, driving CI/CD automation, and delivering intuitive, customer-focused solutions that perform seamlessly at scale.

Aspiring computer scientist with hands-on research experience in NLP, quantum computing, and AI for health. Demonstrated ability to conduct literature reviews, implement simulations, and collaborate on multi-student research projects. Pursuing further opportunities to apply machine learning, quantum algorithms, and data analysis in clinical and research settings.

A motivated Computer Science student with practical experience in Data Engineering, Artificial Intelligence, Machine Learning, and Software Development. Recently contributed to large scale forecasting, optimisation, and automation projects in a Data and AI Engineering role. Seeking a graduate position where I can apply strong technical foundations, analytical problem solving, and a collaborative mindset while developing deeper expertise in AI, cloud technologies, and scalable engineering systems.

Data analyst with 2+ years’ experience and a Master of Data Science at UQ (GPA 6.5, Dean’s Commendation). Experienced in Python, SQL, Power BI and Excel for data wrangling, reporting and dashboarding. Has been a UQ Casual Academic (Data Science), communicating complex concepts to students and collaborating with course coordinators. Keen to support UQ’s strategic response to AI in education through evidence-based insights.

Senior Full Stack Engineer with 8+ years of experience, bridging the gap between Enterprise FinTech Systems and AI-Driven Edge Computing. Expert in architecting scalable solutions using .NET Core and React. Currently focusing on IoT Energy Management and Local AI Agents, demonstrating strong architectural capabilities in deploying distributed systems, RAG knowledge bases, and algorithmic trading logic. Passionate about applying AI solutions to solve real-world business problems.

Motivated Master of Information Technology graduate with hands-on experience in Python, machine learning, deep learning, SQL, data analysis, and front-end development. Strong foundation in JavaScript and React with exposure to data science projects and end-to-end development. Seeking entry-level opportunities in data science, AI, or software development to apply analytical skills and build intelligent, user-centered applications.

Master of Artificial Intelligence graduate with hands-on project experience in generative AI, computer vision, and optimization. I’ve worked with diffusion-based inpainting, depth estimation, segmentation models, and end-to-end Python/PyTorch pipelines, along with multi-agent optimization projects using MiniZinc. These projects gave me practical skills in building AI workflows, running experiments, evaluating outputs, working with GPU environments, and improving model performance step by step.

US citizen with hands-on experience in Python, Java, C, C++ and full stack development. Familiar with cloud computing, NLP, deep learning, and software project management. Demonstrated ability to deploy ML models and build data-driven solutions through internships and research projects.

Artificial intelligence researcher specialising in large language model optimisation and post-LLM innovation, backed by dual Master’s degrees (Computing and Mechanical Engineering). Expertise in identifying LLM limitations, deploying scalable AI systems and pioneering memory optimisation techniques. Passionate in bridging theoretical research with practical engineering to advance artificial general intelligence.

Data analytics with 330 k historical workers’ injury compensation records. AIGC creator: AI generated content reached 2.1 M views & 49 K likes in Chinese Tiktok in 2 months. Bilingual Customer Service – Mandarin & English. Master of Commerce in progress with focus on Business Analytics.

Detail-oriented software engineer with hands-on experience building AI-powered multi-agent systems and full-stack web applications. Proven track record delivering performance improvements, cost reductions, and robust validation gates in Agile environments. Experienced in AI pipelines, cloud deployments, and cross-functional collaboration to translate user needs into technical solutions.

Aspiring data analyst and developer with hands-on experience in Python, data cleaning, web scraping, and e-commerce support. Experienced in collaborating on ML-related projects, presenting analyses, and delivering data-driven insights. Proactive in maintaining data integrity, reporting, and improving processes.

A Master of Information Technology student concentrating on Artificial Intelligence with strong foundation in machine learning, data systems, and AI deployment. I specialise in translating ambiguous real-world and customer-driven problems into robust, interpretable, and aligned AI systems. My interests span large language model (LLM) and machine learning systems deployment and monitoring in regulated and high-impact production environments.

Product-oriented Data Scientist and former CTO with a unique background bridging Venture Capital and SaaS scaling. Combines deep technical expertise in the Modern Data Stack with an investor’s strategic lens to drive product growth and capital efficiency. Proven track record of engineering 0-to-1 solutions, optimizing high-volume logistics platforms, and delivering institutional-grade investment insights.

PhD-trained Machine Learning Engineer with experience building, optimising, and deploying deep learning pipelines for real-time systems, focused on performance, robustness, and scalability. Demonstrated ability to design scalable training pipelines, optimise pretraining and fine-tuning, and productionise ML research for clinical applications. Experienced across data processing, model training, evaluation, and deployment with a track record of cross-functional collaboration.

Aspiring AI researcher and software engineer with experience across academia and industry. Focused on AI, software development, and data processing, with published research and hands-on work in iOS/Android modules, forecasting, and language modeling. Proven ability to lead teams, drive projects, and mentor students in fast-paced environments.

Data Scientist and Analytics Engineer with experience leading teams to design and implement advanced analytical systems. Skilled in ETL pipelines, data engineering, SQL, Airflow, Spark, and ML/NLP. Delivers data-informed strategies and impactful client results across multiple industries.

Enthusiastic and detail-oriented software engineer with hands-on experience in deep-learning, software release & versioning, and computer vision. Adept at developing, training, and deploying production-ready AI models while contributing to innovative R&D projects and collaborating within distributed and cross-functional teams. Eager to contribute to cutting-edge technology while fostering an environment for continuous personal and professional growth.

Experience in AI/ML development and cloud automation. Worked on AWS services, OCR, data analysis, and automation frameworks. Proficient in Python and JavaScript with hands-on project work in ML model training and automation for document processing and loan workflows.

Motivated Computer Science student with AI and cybersecurity focus seeking internships or entry-level roles. Has hands-on experience as a full-stack developer and internship developer, delivering web and mobile solutions using modern stacks. Strong problem-solving and collaboration skills with a track record of delivering scalable applications and cross-functional impact.

Full Stack Developer and Senior Software Engineer with 17+ years of experience delivering scalable, high-performance enterprise solutions across Telecom, HR, and Media domains. Strong hands-on expertise in Java (Spring Boot, Microservices) and React (TypeScript, HTML5, CSS3) with deep proficiency in SQL and both relational and non-relational databases. Experienced in designing, building, and deploying RESTful APIs, integrating AI/LLM-based features, and optimizing performance in cloud and microservices environments (Azure, AWS). Certified in Azure Fundamentals and Google Generative AI, bringing a strong mix of full-stack engineering, integration, and applied AI innovation.

Data Scientist/ML Engineer with total 15+ years of professional experience which includes 9 years of experience specializing in designing, developing, deploying, and optimizing data-driven machine learning and LLM/RAG solutions and scalable systems. Before transferring into AI/ML space I also had worked 7 years in core software development acquiring expertise and a robust foundation in software development best practices, agile methodologies, and end-to-end application lifecycle management. I also developed a proven ability to bridge technical and business requirements, ensuring impactful ML solutions and seamless integration within enterprise architectures.

IIT Madras BSc graduate with 2.5 years' RPA experience (Python & UiPath) and applied GenAI, web development & computer vision project experience. Seeking a data science role leveraging strong coding and emerging ML skills.

Motivated and adaptable IT professional with a double degree in Information Systems and Management, currently pursuing a Master’s in Cybersecurity at Monash University. I bring hands-on experience across UI/UX design, cybersecurity analysis, and IT project coordination within Agile and Scrum-based environments. Skilled in user-centered design, threat identification, and digital toolsets like Figma, Trello, and SIEM platforms, I thrive in collaborative, fast-paced teams. Beyond my core expertise, I’m also open to exploring new roles and learning opportunities across different areas of tech and design. I’m eager to apply my creativity, problem-solving mindset, and technical versatility to help teams innovate and grow.

High-achieving AI postgraduate with a focus on data engineering, AI, and machine learning. Skilled in Python/Scala, SQL, TDD, CI/CD, and DevOps, with a track record of designing scalable data pipelines and integrating AI/ML workflows with MLOps practices. Experience spanning roles at ZS Associates, Katonic AI, Sony Research, and IIT Delhi, delivering solutions that drive measurable business value and domain familiarity in BFSI, pharmaceutical consulting, and energy products. Currently on a Graduate Work Visa (subclass 485) valid until November 2028; open to permanent roles and contracts with expected compensation of 60k-70k AUD per year plus super.

Software/AI Engineer with hands-on experience building real-time AI pipelines, computer vision solutions, and ML deployment. Skilled in designing event-driven architectures, containerized deployments, and scalable data pipelines using Kafka, FastAPI, Docker, and MongoDB. Proven track record delivering low-latency inference and production-grade REST APIs with Azure and other cloud services.

Data Science Engineer with 2+ years of professional experience in building ETL pipelines, predictive modeling, and NLP/LLM applications. Experienced in deploying ML workflows on cloud platforms, fine-tuning models, and delivering data-driven solutions. Pursuing advanced studies in data science with a focus on time series, NLP, and scalable data platforms.

Aspiring AI/ML engineer with hands-on experience delivering production-ready AI features and ML/NLP pipelines across multiple domains. Proficient in building scalable solutions using Python, Flask/FastAPI, React/Next.js, and cloud deployments. Experienced in data engineering, computer vision, and sentiment analysis, with a track record of collaborating across cross-functional teams to enable data-driven product insights.

Passionate software developer with interest and experience in AI, machine learning, games, and general full stack software. Demonstrated capacity for developing practical software including federated learning pipelines, computer-vision models, and Unity 3D simulations. Actively looking for junior software or AI engineering position to work on real world systems.

AI Engineer who delivers measurable business impact: improved enterprise storage efficiency to unlock $1.5M in savings, built scalable data pipelines and automated reporting workflows, and transformed raw data into decision-ready insights. Specialises in optimisation, LLM-powered solutions, and deploying ML/AI systems that solve real business problems with accuracy, reliability and clear outcomes.

Generative AI Engineer with hands-on experience designing, building, and deploying LLM-powered systems, including RAG pipelines, agent workflows, vector search, and AI-driven applications. Skilled in Python, LangChain, HuggingFace, embeddings, prompt engineering, multi-agent reasoning, and end-to-end prototyping. Experienced translating AI research into usable software, optimising model workflows, and collaborating with product and design teams to turn ideas into production-ready solutions. Currently seeking Generative AI Engineer / LLM Engineer roles to build cutting-edge systems in e-commerce, SaaS, and enterprise AI environments.

Master’s graduate in Artificial Intelligence with hands-on experience designing intelligent systems and transforming data into impactful applications. Contributed to cutting-edge projects at Blackbox Innovation, including a serverless GPT-powered workout planner and a pose analysis platform integrating computer vision with dynamic language-based feedback. Strong foundation in full-stack and backend development, enabling end-to-end AI-driven software solutions. Thrives at the intersection of machine learning and software engineering, committed to practical, user-focused innovations that solve real-world problems.

Master’s graduate in Applied Information Technology from Victoria University Melbourne, with hands-on experience building production-ready Python-based web applications powered by Generative AI through strategic prompt design. Key projects include Ember hosted on AWS as website, a GPT4o-based conversational AI bot for preliminary depression detection, and NextGenEd, an AI-driven educational platform with voice-enabled contextual image analysis using Gradio UI. Proficient in full-stack development using Flask, RESTful APIs and responsive frontend technologies, with seamless integration of third-party services such as web search APIs.

Full-stack AI Engineer with 5 years building intelligent systems from concept to production. I work across React frontends, Python backends, LLM features, and cloud infrastructure to ship AI applications that users adopt. Thrive in fast-paced environments where I can own technical decisions and turn ambitious ideas into working software.

Senior Generative AI solution developer with hands-on experience architecting production-grade LLMOps infrastructure, building autonomous agents, and integrating AI across multiple domains. Proven track record in reducing operational incidents, accelerating test and deployment cycles, and delivering scalable AI-driven features. Strong background in AI agents, LangChain/LangGraph ecosystems, and modern CI/CD with Kubernetes and cloud platforms.

Ph.D. Candidate in Artificial Intelligence with 3+ years of experience as a Machine Learning Engineer, bridging the gap between cutting-edge research and applied product development. My background combines deep theoretical expertise in Reinforcement Learning (PhD) with hands-on industry success in Computer Vision, including model optimisation, fine-tuning, regularisation, and deployment on resource-constrained edge devices. Highly proficient in Python, C++, PyTorch, and TensorFlow, all underpinned by a strong foundation in mathematics.

Driven AI/ML engineer with hands-on experience in predictive modeling, vector databases, and Generative AI workflows. Experienced in deploying production-grade AI pipelines, RAG systems, and multi-agent architectures. Strong background in Python, PyTorch, and cloud-enabled data processing, with a focus on real-world risk, compliance, and talent/mrole mapping tasks.

Experienced software engineer with hands-on experience in full-stack development, microservices, and AI integration. Worked across Java/Spring Boot, Node.js/TypeScript, and React/Next.js, with a focus on performance, reliability, and scalable architectures. Demonstrated ability to lead AI feature integration and collaborate across cross-functional teams.

Aspiring software engineer with a strong foundation in computer science and electrical engineering. Experience includes machine learning research at the Australian Institute for Machine Learning and full-stack development in project work. Practical exposure to AI/machine learning workflows, software development, and real-time rendering projects.

Motivated and technically skilled professional transitioning into Machine Learning Engineering roles, with a background in IT support and systems analysis. I have hands-on experience building machine learning models and small end-to-end ML systems using Python, PyTorch, TensorFlow, and cloud platforms, mainly through academic and personal projects. I am currently completing a Master’s in Information Technology with a focus on Artificial Intelligence and Intelligent Systems, with academic exposure to cognitive architectures. I am particularly interested in learning, collaborating with others, and building ethical, intelligent solutions that can be applied to real-world problems.

Highly focused AI and Machine Learning Engineer with a strong postgraduate foundation in developing scalable, data-driven solutions, and a specific interest in Simulation and Reinforcement Learning (RL) applications. Possesses the technical depth in Python and Neural Networks to design complex optimization models. Proven ability to translate complex data findings into actionable system designs and workflow automations. Dedicated to leveraging advanced ML techniques and CI/CD principles to build robust, production-ready AI solutions for real-world operational challenges, particularly within fleet management and logistics environments.

High-agency Junior AI Engineer with backend engineering and product strategy experience. Proven track record delivering tangible business outcomes, from optimizing RAG pipelines to building zero-code platforms. Combines Python, Neo4j, and APIs with the ability to bridge engineering complexity and business needs.

Motivated and detail-oriented Computer Data / AI / Cloud Intern with experience in network security, cloud computing, and AI/ML tooling. Strong foundation in cybersecurity, IT operations, and system hardening, with hands-on work deploying real-time inventory systems and performing vulnerability assessments. Proven ability to learn quickly, apply emerging technologies, and communicate insights to stakeholders.

Machine Learning Engineer with 4+ years of experience designing and deploying production AI/ML systems, specializing in end-to-end solutions from exploratory data analysis through model deployment and monitoring. Demonstrated expertise in developing LLM applications, traditional ML models for predictive analytics, and multi-modal generative systems across AWS SageMaker, Bedrock, and Azure ML. Strong foundation in time series analysis, feature engineering, and building scalable ML pipelines with comprehensive monitoring. Proficient in Python, PyTorch, FastAPI, and cloud-native MLOps practices.

Software Developer specialising in computer vision with real-time video analytics, large-scale inferencing pipelines, and deployment of production-grade ML systems. Experienced in building scalable, low-latency computer vision and VLM solutions, supported by robust CI/CD workflows, performance optimisation, and high-reliability system design. Passionate about delivering robust AI solutions in production environments.

Data Scientist | Machine Learning Engineer | Data Engineer | Data Analyst. Machine Learning Engineer and Data Scientist with a Master's in Data Science and 3+ years of diverse experience in AI, data engineering, analytics, and backend development. Strong skills in building and deploying ML models, data pipelines, NLP systems, deep learning, and distributed computing. Adept at solving real-world problems using advanced analytics, scalable infrastructure, and cloud-based AI solutions. Passionate about applying AI for social impact, financial innovation, and intelligent systems.

A broad range of ML experience with a focus on LLM and Multimodal. Own project deliverables with tenacity, consistently pushing them to completion despite obstacles. Flexible and constructive, I foster team cohesion and collaborative success. My GitHub and Kaggle activity demonstrates hands-on proficiency and ongoing learning.

Aspiring data scientist with a Master of Data Science and hands-on experience in algorithmic systems development and data analysis. Led a team in high-pressure military information operations and contributed to data security and communication systems. Skilled in Python, Java, JavaScript, SQL, and various ML frameworks; active in university data science communities and workshops.

Machine learning masters student aspiring to contribute as a skilled software and ML developer by applying my strong foundation in programming, machine learning, and problem-solving, while continuously growing through innovative projects and collaborative environments in the tech industry.

Aspiring AI/ML engineer with hands-on experience in Python, TensorFlow, AWS, and full-stack development. Proficient in building and deploying AI models for real-time applications, edge deployment with Docker, and cloud services. Demonstrated ability to lead projects, integrate computer vision with hardware, and deliver production-ready software across backend and frontend domains.

Machine Learning Engineer (early career) with hands-on experience in deep learning, NLP, computer vision, and generative models across research and industry internships. Strong Python engineering skills, experience with model training, evaluation, and deployment, and passion for building ML systems such as recommender and prediction systems. Worked across NTRO, Deloitte, Capgemini with exposure to real-world client projects and AI solutions.

I strongly believe in the idea of “Learn, Build, Analyze and Solve” to combine with my passion for bringing positive change through technology for all.

Specializing in enterprise system implementations and AI integration with a proven track record delivering Oracle solutions, designing custom automation workflows, and architecting scalable solutions for financial services clients. Demonstrated ability to reduce manual processes and improve efficiency through automation and AI-driven analytics. Experience spans consulting, AI engineering internships, and data science initiatives across multiple locales.

Computer science postgraduate student with practical experience in technical writing, AI/ML, and software development, on top of good teaching and tutoring skills. knowledgeable in Python, Java, and full-stack technologies, and proficient at using contemporary frameworks for data management, model development, and deployment. renowned for producing understandable documentation, efficiently troubleshooting, and converting intricate technical ideas into plain, interesting explanations. Outstanding mentoring and communication abilities, with a track record of establishing connections with a variety of audiences and promoting learning.

Experience as a Generative AI Engineer with a background in data analytics and software engineering. Proficient in Python, Langchain, Docker, and cloud tools; has worked on RAG agent systems and real-time visualization. Demonstrated ability to apply AI/ML techniques to shipbuilding documentation and process improvements.

Postgraduate in Artificial Intelligence with strong foundations in ML, DL, and data-driven problem solving. Eager to apply modern AI techniques such as LLMs, Agentic AI & multimodal reasoning to real-world business challenges with a focus on scalability, automation, and data insights. Experienced in backend systems, cloud platforms, and big data engineering, with a track record of leading overseas projects and coordinating global teams.

AI Software Engineer with hands-on experience building machine learning models, intelligent chat systems, and workflow automation solutions. Skilled in PyTorch, Next.js, and cloud-based AI tooling, with a track record of delivering production-ready systems such as playground image classification models, role-based AI assistants, and multi-platform data automations. Passionate about applying AI to real-world problems and building scalable, user-centric solutions.

A data professional with 3 years of experience transitioning from analytics and engineering roles, bringing strong Python skills and statistical modeling expertise. Proven ability to build predictive models, communicate insights clearly, and collaborate cross-functionally. Experienced in delivering machine learning solutions, developing dashboards, and exploring emerging trends in AI and analytics.

AI/ML Engineer with 5 years of experience, including 5 years in Computer Vision and 2 years in NLP and Large Language Models. Holds a Master’s degree in Artificial Intelligence. Skilled at translating business problems into AI solutions across vision, language, and time-series domains, and deploying them to production. Skilled in both independent and collaborative work, with a passion for continuous learning and applying state-of-the-art techniques to real-world applications.

Masters in Artificial Intelligence (RMIT University) graduate with software development experience in microservices and applied AI. Skilled in Python, Machine Learning, and Reinforcement Learning with hands-on experience building intelligent systems for robotics, natural language processing, and optimization. Proven ability to design, develop, and deploy scalable AI solutions from research to production.

I am a dedicated Software Architect with 15+ years of achievements across varied corporate roles. I have deep understanding of Artificial Intelligence (AI) and Machine Learning (ML) as well as standard web development, cloud development, and desktop development. I am proficient in agile software development, mentoring and coaching, and leading geographically dispersed teams to achieve organisational goals.

AI Engineer with experience delivering cloud-integrated AI workflows and MLOps efficiency in multi-stakeholder environments. Founder and AI/ML project lead with award-winning EdTech MVP development and hands-on experience in fine-tuning LLMs and building scalable digital solutions. Strong focus on rapid prototyping, agile leadership, and end-to-end AI system delivery.

PhD candidate with extensive experience in deep learning, model distillation, and machine learning research. Has worked on knowledge distillation, vision transformers, and large language model fine-tuning. Publications in leading ML venues and collaboration with industry partners. Strong background in TensorFlow, PyTorch, and Huggingface tooling.

Current AWS Solutions Architect with hands-on experience designing and deploying scalable, secure AI solutions on AWS. Proven ability to rapidly learn new technologies and deliver customer-focused solutions using AWS, latest AI technology, Kubernetes, and CI/CD pipelines. Certified in AWS SAA, CKA, and Terraform Associate.

Computer Vision Engineer with 6 years of experience in developing and deploying vision solutions. Led a team of engineers, optimized pipelines for defect detection, and improved OCR performance with advanced models. Experienced in end-to-end ML workflows, on-premise deployments, and MLOps, with a focus on fast inference and robust classifications.

Computer Science graduate with practical experience building LLM-powered systems, AI agents, and multi-step automation workflows. Skilled in Python, prompt engineering, and integrating AI models into real business processes. Strong analytical background with the ability to break down requirements, design reliable AI solutions, and collaborate effectively with cross-functional teams to deliver measurable outcomes.

AI Engineer with hands-on experience developing and deploying conversational AI systems and Generative AI solutions, including LLM-powered systems and agentic workflows. Master of Artificial Intelligence graduate skilled in building AI applications, designing scalable APIs, and deploying models on cloud platforms such as AWS, GCP and Azure. Experienced in collaborating with cross-functional teams to translate business requirements into production-ready AI solutions, with a strong focus on performance optimization, reliability, and practical client impact.

AI Research Scientist specialising in LLMs, RAG systems, and production ML deployment. MSc Data Science (Distinction) with 3+ years developing generative AI solutions that drive measurable business impact across enterprise and startup environments.

Results-oriented Data Engineer with 2+ years of experience in data pipelines and analytical systems, specialising in distributed data processing, scalable ETL workflows and data-intensive application development. Strong applied AI background with LLM exposure, spanning data engineering and data-driven software development in Agile project management.

Ambitious full-stack software engineer with hands-on experience across frontend and backend technologies. Has delivered multiple SaaS and educational projects, collaborating with cross-functional teams. Experienced in React, TypeScript, Django REST, and cloud/deployment practices.

Data Science graduate specialising in Python, SQL, and analytics engineering. I build reliable data pipelines and practical ML prototypes (classification, forecasting, NLP/RAG) with strong habits around testing, documentation, and stakeholder-ready dashboards. Currently a part-time Inventory Specialist improving on-shelf availability and reducing waste through data-informed ordering.

Experienced data analytics engineer with more than four years of experience in creating AI and ML powered solutions. Demonstrated capacity to lead continuous improvements, collaborate with cross functional teams, and implement creative solutions. Committed to improving company strategy and operational efficiency using AI and data.

Experienced Full-Stack and Machine Learning Engineer with deep expertise in Generative AI, Large Language Models (LLMs), natural language processing (NLP), deep learning, and neural networks. Seeking a challenging role in a forward-looking organisation where I can leverage advanced AI technologies, cloud infrastructure, and full-stack development skills to build scalable, intelligent applications that solve complex problems and deliver tangible business value.

IT graduate with a strong foundation in data analytics, AI, and cloud computing. Skilled in Python, R, SQL, and machine learning frameworks to build predictive models and insights. Experienced in Agile workflows, technical presentations, and cross-functional collaboration to translate complex requirements into user-focused products.

Data Scientist with hands-on experience designing and deploying RAG systems, serverless pipelines on AWS, and intelligent agents for cloud resource automation. Strong background in ML/Ops, OCR, and multi-object detection, with a track record of improving retrieval accuracy and enterprise automation. Proven ability to integrate embedding models, fine-tuning, and re-ranking to enhance domain-specific search and accessibility.

AI Engineer with 5.5 years of experience, seeking full-time AI, Data Science and related roles

AI Engineer with hands-on experience building intelligent coding assistants, multi-agent systems, and large-scale AI deployments. Skilled in applying cutting-edge AI models to real business use cases, streamlining developer workflows, and improving productivity. Strong background in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and scalable cloud deployments. Passionate about making AI practical, reliable, and impactful.

Dynamic Master’s student in Artificial Intelligence and Machine Learning with a strong foundation in full-stack development, specialising in computer vision and 3D reconstruction. Proficient in computer vision applications including object detection, image segmentation, and 3D scene understanding. Experienced with NLP and Multimodal Large Language Models for complex reasoning tasks. Transitioned from frontend, backend, and API integration to AI-driven solutions, tackling technical challenges across computer vision, deep learning, and multi-modal AI domains.

Computer Science graduate specializing in Data Science and Cybersecurity with hands-on experience in AI/ML development and full-stack systems. Experienced with Python, data preprocessing, model evaluation, and deployment of RAG-based chatbots and predictive systems, plus front-end and back-end work with React, TypeScript, and .NET. Passionate about building efficient &secure systems, automating workflows, and rapid learning in fast-paced environments.

Data Science Professional with 8+ years of experience in Data Science, Agentic AI, Machine learning, Recommender systems, NLP, Computer Vision, Forecasting systems, LLM, Edge computing, Remote sensing Multimodal AI and IoT. Connecting Electronics, Computer science, Telecommunication & Networking Engineering technologies with AI for advanced Engineering practices, Research and Developments.

Aspiring Data Scientist with a strong foundation in Computer Science and a keen interest in leveraging data to solve complex problems. Completed a Master of Data Science at RMIT University, Melbourne and proficient in R, Python, SQL, NLP, neural networks and cloud computing. Eager to apply analytical skills and programming expertise to contribute to innovative projects and drive data-driven decision-making.

Skilled Software Engineer with hands-on experience in AI, Machine Learning, Generative AI (Gen AI), and Data Engineering. Proven ability to build intelligent document processing systems and real-time data solutions using IBM WatsonX, Large Language Models (LLMs), PySpark, Apache Kafka, MongoDB, and Google Cloud Platform (GCP). Specialized in developing scalable LLM-based applications leveraging Retrieval-Augmented Generation (RAG) for real-time insights and decision-making.

AI Software Developer with over 4+ years of experience in designing and developing cutting-edge applications. Skilled in full-stack development, AI/ML and integrating AI and machine learning models into software solutions. Seeking a challenging role to leverage my software development skills in delivering innovative and impactful solutions.

20 years of experience in Java/J2EE technology with expertise in Spring Boot 3, RESTful API, Microservices, Kafka, Docker, AWS, MongoDB in various industries on projects for companies such as Westpac Bank, Bendigo Bank, Mazda Australia, Australia Post, CPVV. Proven track record of thinking ahead and writing clean code for the development of enterprise web applications using cutting-edge technologies and SDLC. Specialized in RESTful API web services development, including experience with API Gateway. Experienced in database design and optimization for optimal performance and efficiency.

AI Consultant focused on rapid prototyping and validation of applied AI use cases. Experienced in building proofs of concept for summarisation, classification, forecasting, and workflow automation. Strong communicator working closely with stakeholders to translate business needs into measurable outcomes.

Built AI-driven platforms enhancing automation and decision-making—football analysis for local clubs and academies (+30% insights) using ViTs, AI Gym Form Checker (-60% errors) with pose estimation, multimodal AI Voice Assistant integrating speech & vision, and a RAG-based AI Agent cutting research time by 50%. AI & Cloud Internships | Alibaba Cloud, Yotta Data Services, Edgematics Group – Developed automated AI-driven worflow ecosystem reducing query response times by 40% and redundant queries by 75% & Laid foundation for AI inferencing on Shakti Cloud which later powered India’s first locally hosted chatbot.

As an ML/AI Engineer and Researcher, I focus on creating robust, evaluation-driven AI systems that solve real-world problems. This includes building data pipelines, defining evaluation frameworks and metrics, determining optimal approaches between in-context learning and fine-tuning, establishing data flywheels for sustainable solutions, contextual engineering with LLMs, and implementing distributed training when needed. I approach problems agentically (using first principles) - digging into cross-disciplinary research, breaking problems down, and connecting the dots until I can ship something that works. What I Build, How I think, and Why It Works: With a strong math and statistics background, I take a hands-on approach to building AI systems end-to-end. My process typically begins with applying LLM prompting and contextual engineering to establish baseline performance, then designing accuracy metrics that truly matter for the problem at hand. Based on these metrics, I decide whether to pursue fine-tuning which involves designing sophisticated data filtration and synthesis pipelines or optimize through other means. From there, I build complex state machines using LLMs in the loop with memory and self-evaluation capabilities (what the field now calls agentic systems). I've implemented these approaches while training neural networks in PyTorch, fine-tuning models, and mainly designing RAG pipelines/multi-agentic systems. Most recently, I contributed to Microsoft's open-source GraphRAG project, where I integrated graph-based retrieval systems that convert unstructured data into structured formats for real-world solutions. Throughout this work, rigorous error analysis on ML/LLM systems ensures the solutions actually perform in production. I'm deeply interested in contextual engineering and how it can solve retrieval issues in RAG to create powerful products. This systematic approach from baseline establishment through iterative improvement, has become central to how I tackle messy, real-world AI problems. Alongside engineering, I'm actively involved in research. One of my papers on cultural bias in LLMs is currently under peer review, and another research project explores ways to quantify creativity in large language models. I've also filed a patent in Australia, proposing a document search engine that uses hashed representations instead of traditional vector stores. I write about neural networks and their mathematics on my blog, aiming to explain the intuition behind the models I work on. Beyond code and papers, I'm a strong communicator who presents ideas clearly, works well across diverse teams, and contributes effectively in agile environments (GitHub code reviews, CI/CD, sprints approaches). I enjoy solving messy problems and believe that curiosity, structured thinking, and execution are what create lasting value.

Results-oriented Machine Learning Engineer with 5+ years of experience designing and deploying enterprise-scale generative AI, agentic systems, and RAG-based solutions across regulated fintech and healthcare sectors. Expert in Microsoft Azure (OpenAI, Functions, AI Services), Power Platform, LangChain, and RESTful microservices, delivering production-grade workflows that seamlessly integrate LLMs, intelligent automation, and global SaaS ecosystems such as Salesforce and Kafka. Skilled in prompt engineering, AI safety, responsible AI, and MLOps, translating complex business challenges into secure, high-impact, and low-latency AI systems. A collaborative leader passionate about technical governance, experimentation, and advancing retail AI innovation to keep Bunnings at the forefront of digital transformation.

Software Engineer with experience designing and implementing full-stack microservices and cloud infrastructure. Proficient in Node.js, Django, React, and AWS, with a track record of improving performance and reliability. Experienced in end-to-end development, from backend APIs to frontend dashboards, and in collaborating with cross-functional teams.

Software engineer with hands-on experience building frontend and backend features for AI-powered web applications. Proficient in React, TypeScript, Next.js, and Go, with cloud and CI/CD tooling. Demonstrated ability to collaborate across cross-functional teams and deliver scalable data pipelines and tools.

Siva Thangavel is a passionate technology enthusiast with a background in software engineering. He has hands-on experience in frontend and backend development, enabling him to understand the full software development process. Based in Melbourne, he has led UAT, test planning, dashboards, bug resolution, and mentored teams on projects across frontend and backend domains.

Highly accomplished Senior Software Engineer and Researcher with a PhD in Information Technology and 6+ years of experience spanning AI, Full Stack, Blockchain, and DevOps Engineering. Proven ability to architect complex systems, from Knowledge Graph RAG pipelines to scalable microservices. Expert in modern GenAI-Augmented development workflows, utilizing AI coding assistants to accelerate delivery of production-grade software. Passionate about building innovative applications.

Highly motivated and results-driven Data Engineer with a strong research background and over 2 years of hands-on experience in designing, developing, and deploying data pipelines and solutions. Skilled in translating complex business requirements into efficient data architectures using modern platforms and tools such as Snowflake, AWS, Airflow, and Dbt. Experienced in building and deploying robust data pipelines, automating workflows, and leveraging cloud infrastructure for reliable, high-performance data operations. Proven ability to solve complex data challenges and collaborate effectively with cross-functional teams to drive organizational success.

Results-driven AI Research Engineer with 5 years of experience in both industry and academia. As the sole AI engineer on outsourced projects, I owned the full AI lifecycle: from architecture design, model selection, fine-tuning, software engineering, to deployment on AWS. Most projects achieved MVP delivery within 4 weeks and entered real-world production. Notable achievements include 10+ publications and a strong track record in real-world applications. Actively engaged in fostering innovative entrepreneurship. Seeking opportunities to contribute to advancements at the cutting edge of technology and social science innovation.

Results-oriented and innovative Software Engineer with around 2 years’ experience specialising in full-stack development, data analytics and AI. Proficient in multiple languages including Python, JavaScript, React and MySQL. Experienced in CI/CD, AWS, Container. Demonstrated expertise in working within an agile development environment and delivering projects on time.

Innovative AI Engineer skilled in designing, developing, and deploying end-to-end intelligent systems. Experienced in large language models, API integrations, and NLP applications using Python, TensorFlow, and OpenAI technologies. Proven success delivering production-ready AI tools, including an enterprise chatbot that improved user clarity by 62% and reduced latency by 37%. Adept at collaborating with cross-functional teams, optimizing prompt performance, and ensuring ethical AI deployment in real-world environments.

AI and Data Science professional with expertise in machine learning, deep learning, and cloud-native AI development. Strong programming skills in Python, C++, and JavaScript with experience across PyTorch, Hugging Face Transformers and using parameter-efficient methods such as LoRA. Skilled in designing, fine-tuning, and deploying end-to-end AI solutions using Generative AI, Agentic AI, NLP, Computer Vision, and Large Language Models (LLMs) knowledge.

Double-degree graduate in Electrical & Electronic Engineering and Computer Science with expertise across electronics, embedded systems, and AI. Skilled in designing and testing safety-critical hardware and software, with a track record of delivering reliable, innovative solutions that bridge hardware and intelligent software.

Graduate Computer Science student specialising in ML, cloud, and distributed systems, with 3+ years of experience across AI development, MLOps, DevOps, and cloud solutions. Proven ability to build production-ready ML pipelines, automate cloud infrastructure, and deliver applied AI solutions. Looking for graduate or junior roles in AI/ML engineering, software engineering, or cloud engineering.

Proactive and detail-oriented Automation Engineer with strong expertise in designing and implementing end-to-end automation across cloud-based and containerized environments. Proficient in Docker, Kubernetes, and Red Hat Enterprise Linux, with hands-on experience automating infrastructure and operations using Python, Bash, Ansible, and GitHub workflows. Skilled in building scalable CI/CD pipelines, optimizing deployments, and orchestrating resilient microservices across AWS and hybrid cloud ecosystems. Adept at modeling and automating business processes using Camunda, integrating APIs, and streamlining complex operational workflows.

Analytics professional combining 4+ years of enterprise BI experience with hands-on AI product development. Built and deployed AI platform using OpenAI API and n8n workflow automation. Expertise spans marketing mix modelling, predictive analytics, and dashboard development.

Passionate Full-Stack Developer with strong expertise in React application development, AI agent orchestration, and RAG systems. Experienced in designing and integrating intelligent components using LangChain, FastAPI, and Next.js. Driven by curiosity to build practical, human-centric AI solutions that create measurable value in everyday contexts.

Master of Information Technology candidate at Monash University with a strong foundation in scalable web application development and cloud-based deployment. Recipient of the Monash Faculty of IT Student Choice Award for leading the development of a full stack platform that addressed real user problems with practical impact. Demonstrates strong self-learning ability and a proactive approach to turning ideas into functional digital tools. Committed to contributing to high performing engineering teams and delivering robust, user focused software solutions.

Experienced Data and IT professional with 3+ years in software engineering, cloud infrastructure, and applied data science. Skilled in deploying AWS-based microservices and telecom billing platforms at CSG, building backend and analytics solutions at BizFlash, and developing AI applications (computer vision, predictive models, chatbots) at StoreNow Energy, G2i, and through academic projects. With expertise in ML, MLOps, and data analytics, I bridge IT and AI to deliver impactful, data-driven solutions.

AI Engineer with a background in Quality Control, transitioning into Information Technology. Experienced in designing AI solutions using AWS, focusing on computer vision and predictive analytics. Skilled in deploying AI systems that enhance business operations, offering innovative solutions with a commitment to excellence and collaboration.

Graduate Data Science student at the University of Melbourne with experience in AI applications, NLP, streaming data pipelines, and statistical modeling. Proficient in Python, R, SQL, and Spark, with a strong foundation in building robust, data-driven solutions. Passionate about applying analytical thinking, technical expertise, and problem-solving skills to create meaningful impact across diverse industries

Results-driven Full Stack Developer with over 10 years of experienced delivering secure, scalable, and intelligent cloud-based solutions across consulting, telecommunications, and digital innovations sectors. Adaptive to designing end-to-endsystems that combine automation, microservices, and applied AI to solve complex problems and improve user outcomes. Experienced in AI-driven projects—from integrating natural language understanding to building intelligent data pipelines and real-time inference workflows.

Machine Learning Engineer and Data Scientist with 1.5 years of experience delivering AI-driven and data-centric solutions. Skilled in building end-to-end ML pipelines, MLOps, and production-ready AI systems including recommendation engines, predictive models, and NLP applications. Proficient in Python, TensorFlow, Scikit-learn, SQL, and cloud deployment (AWS/GCP).

AI & Machine Learning Engineer with 3+ years of experience designing LLM-powered systems, prompt engineering frameworks, and NLP applications. Adept at bridging editorial standards with cutting-edge AI to create tools that support journalists, automate workflows, and maintain accuracy, ethics, and integrity. Skilled in fine-tuning transformer models, deploying at scale in Azure/AWS, and conducting structured interviews with editorial teams to translate newsroom requirements into effective AI tools.

Driven and innovative Data Scientist with a passion for solving complex problems and generating actionable insights. Recent graduate with a strong foundation in data science principles, including machine learning, statistical modeling, data analysis and visualization. Dedicated to building and implementing effective data platforms that align with organizational goals. Eager to contribute to a dynamic team, continuously learn from experienced professionals, and apply analytical skills to unlock hidden value in data.

AI/ML Engineer with 3+ years of experience in designing, building, and deploying scalable and reliable AI-driven solutions. Proven expertise in applied AI/ML and Generative AI applied to software engineering workflows, with a strong foundation in cloud platforms (GCP, AWS) and DevOps practices. Passionate about contributing to the AI Powered Engineering function by improving developer experience and delivery velocity through iterative experimentation and cross-functional collaboration.

AI/ML Engineer and Automation Developer specialising in agentic AI systems, LLM pipelines, and production-grade machine learning. Experienced in building RAG systems, vector-search architectures, large-scale automation workflows, forecasting models, and API-driven ML services. Passionate about applying AI automation and intelligent agents to solve real business problems with measurable performance impact.

I’m a data and AI leader with 4+ years of experience guiding organisations through AI governance, analytics transformation, and responsible AI adoption. I’ve delivered enterprise-level AI risk assessments, ISO/NIST alignment, and high-impact data initiatives across consulting, government, and non-profit sectors. Master’s from the University of Melbourne, I specialise in shaping data strategy, elevating decision-making, and driving cross-functional delivery. I’m focused on roles where strategic thinking, trust, and measurable impact matter.

Business and systems analyst with 3+ years across IT support, software engineering, and data analytics (TCS, Wipro, Deakin). Completing a Master of Business Analytics (AI for Business) and delivering consulting outcomes for World Vision Australia. Skilled in SQL, Power BI, Python, and Java, with a strong track record of improving system reliability, optimizing processes, and translating complex data into decisions that move the business forward.

Experienced researcher and cross-functional professional with a background in biomedical engineering, biomechanics, and customer success. Proven track record leading projects, securing grants, and managing APAC accounts across global teams. Strong collaboration skills with academic and industry partners, delivering technical and strategic outcomes.

Experienced data-driven professional with over 5 years of expertise in AI, machine learning, and data analysis. Skilled in building, deploying machine learning models and performing in-depth data exploration and analysis. Committed to leveraging data insights to drive strategic decision-making and create meaningful business impact.

AI engineer skilled in building LLM-powered applications, RAG pipelines, and agentic workflows using LangChain, LlamaIndex, and OpenAI APIs. Proficient in Python, FastAPI, and deploying scalable backend services with Docker, Kubernetes, and AWS/Azure. Experienced in prompt engineering, model evaluation, and Deep Learning (PyTorch/ TensorFlow) for production-grade AI solutions.

Machine Learning Engineer with hands-on experience in computer vision, 3D segmentation, Python-based automation, and applied machine learning research. Developed an end-to-end segmentation workflow for coral reef datasets at the Cisco–La Trobe AIoT Centre using SAM, Nerfstudio, and Gaussian Splatting. Strong foundation in ML models, data preprocessing, cloud fundamentals (AWS, Oracle), and containerized workflows using Docker. Passionate about real-world ML applications and growing into production-level ML systems.

Full Stack Engineer with experience in building scalable data pipelines, automation systems, and analytics platforms. Combines software engineering with data science expertise, delivering actionable insights and data-driven solutions while optimising business processes.

AI Engineer specialising in Prompt Engineering, NLP, and Voice/Text AI systems with hands-on experience designing, fine-tuning, and deploying production-grade language and speech models. Proven success delivering Azure OpenAI- and Whisper-powered conversational systems for healthcare and enterprise clients. Skilled in transforming customer requirements into optimised prompts and multimodal AI workflows across text, voice, and automation contexts.

An AI Engineer with one year of experience, proficient in Python, Java, and SQL task development on the Spark platform. Extensive experience in analyzing and annotating text using large language models (LLM) and establishing annotation processes for User Generated Content (UGC). A value-driven AI Engineer specializing in transforming unstructured UGC data into actionable business insights through large language models and intelligent annotation systems.