Greater Sydney Area
Engineer with 7+ years of experience delivering AI, ML, search, and data solutions across energy, trading, insurance, banking, and e-commerce. MSc ETH Zurich, Switzerland. Expert in Information Retrieval and Machine Learning with extensive hands-on experience building and scaling search and recommender systems in production. Proven ability to shape strategy, mentor teams, manage complex stakeholder landscapes, and drive measurable business impact through applied ML/AI and analytics. Skilled in Generative AI innovation, including RAG pipelines, semantic search, and vector search with LLMs. Strong track record collaborating with international teams in complex, cross-cultural environments.
Part of an APAC-based backend team developing an internal wealth management platform used by 2,000+ relationship managers. Accomplishments include: • Built a financial product recommender system leveraging Elasticsearch, resolving existing solution limitations and tailoring recommendations across asset classes in collaboration with domain experts. Expanded the recommendation universe to over 1 million financial products, delivering 30,000+ recommendations weekly with improved latency. • Designed and implemented a cross-functional search engine powered by Elasticsearch, enabling efficient asset search and providing 2,000+ users with quick, reliable access to critical information. Collaborated closely with front-end and back-end engineers to align development with business objectives. • Improved system reliability by implementing multi-Kubernetes cluster service replication, database redundancy, load balancer configuration, and monitoring infrastructure. • Delivered hands-on training sessions to team members on AI/ML concepts, Elasticsearch, and Python testing tools, fostering a culture of growth, collaboration, and innovation and driving measurable improvements in API robustness. • Mentored interns in creating innovative prototypes leveraging Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). Deployed open-source LLMs on-premises, focusing on testing and benchmarking models for internal applications. Prioritized safety measures to mitigate hallucinations, prevent jailbreaking, and protect against data leaks.
Selected for the prestigious IT Graduate Program, receiving comprehensive IT and corporate training. Part of a RegTech team developing a Regulations Monitoring platform to streamline compliance processes and improve regulatory oversight. Accomplishments include: • Streamlined the review process for 100+ regulatory events daily by designing and implementing ML/NLP solutions, improving monitoring accuracy and operational efficiency while reducing manual effort. • Fine-tuned Transformer-based models to classify regulatory news events, achieving F1 scores above 0.85 • Designed and deployed Elasticsearch-powered recommendation systems to enhance navigation and retrieval of regulatory updates. • Built hybrid cloud ML solutions in Azure, ensuring scalability and resilience in collaboration with the Group Architect team. • Led multiple hackathon teams, developing solutions such as a Question-Answering System with hybrid search functionality, improving information retrieval capabilities. • Presented AI/ML solutions at internal conferences with 100+ attendees, demonstrating strong public speaking and the ability to bridge technical and non-technical understanding.