Summary
Han Lai is a Senior Data Scientist with a PhD in applied physics and over a decade of experience building production ML systems for consumer products. Based in the San Francisco Bay Area, he has delivered recommendation engines, semantic search, and NLP pipelines at scale—most notably a friend-recommendation system for a 1.5M-user app that doubled friend requests. He spans the full product lifecycle from user research and experimentation design to deployment and executive reporting, driving metric-backed decisions that lifted subscriptions and engagement. Technically fluent in PySpark, GraphFrames, TensorFlow, BigQuery and NoSQL, he bridges research-grade modeling (ConvNets for time series and video) with pragmatic engineering like Redis and Flask for production. His background in optoelectronics research and military leadership gives him a rare mix of rigorous experimental thinking and disciplined team management. He is known for turning complex data into actionable product features and internal platforms that promote data-driven culture.
10 years of coding experience
8 years of employment as a software developer
Galvanize - San Francisco, SoMa
Bachelor of Science (BS), Materials Science, Bachelor of Science (BS), Materials Science at National Tsing Hua University
Doctor of Philosophy (PhD), Materials Science, Doctor of Philosophy (PhD), Materials Science at University of Florida