Summary
Jay Chan is an AI Engineering Lead with 8 years of hands-on experience translating complex business problems into production-grade ML and generative AI solutions across finance, construction, and industrial domains. He has led cross-functional teams to deliver high-impact systems—from quant trading strategies achieving >50% annualized returns and RecSys with nDCG@10 of 0.4 to RAG-powered automation that improved funding operations by over 30% productivity. Comfortable at the intersection of research and product, Jay designs MLOps, prompts and model pipelines while driving deployment-ready computer vision, RL and NLP systems at scale. He combines pragmatic engineering with strategic roadmap planning and a knack for turning prototypes into measurable business outcomes, often leveraging continuous-learning models for near no-man operations. Based in Hong Kong, he maintains a public technical presence via GitHub and a personal website, signaling an ongoing commitment to state-of-the-art applied ML.
8 years of coding experience
7 years of employment as a software developer
The Chinese University of Hong Kong (CUHK)