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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
AI/ML engineer with hands-on experience developing production-grade systems in computer vision, NLP, and retrieval-augmented generation (RAG). Skilled in deep learning (YOLO, U-Net, Transformers), backend integration, and full-cycle optimisation from research to deployment. Passionate about building intelligent, user-centric systems that simplify complexity and deliver real-world value.
