Summary
Billy Fung is an ML Engineer with 11 years of experience building end-to-end data products, from embedded prototypes to production machine learning pipelines. Trained in Engineering Physics (mechatronics) at UBC, he blends hardware prototyping skills—having co-founded a startup that built gesture-controlled bicycle turn signals—with production ML and MLOps expertise in AWS/GCP. He leads computer vision work at Hectre to scale fruit sizing models, and has previously architected NLP and deployment pipelines using KFP, Vertex AI and SageMaker. As an independent consultant he delivers tailored Python/R analytics, Flask web apps and interactive d3.js dashboards tied to PostgreSQL-backed data platforms. He also has four years of focused experience in New Zealand electricity markets, applying optimisation and FTR portfolio modelling to extract actionable trading insights. Comfortable across the full stack and lifecycle, he combines mathematical rigor with a maker’s curiosity to turn messy data and hardware constraints into practical products.
11 years of coding experience
9 years of employment as a software developer
Engineering, Engineering Physics, Engineering, Engineering Physics at The University of British Columbia
English, Chinese