Summary
Jason Lin is a Senior Software Engineer based in San Francisco with seven years of hands-on experience building production ML systems and backend services using Python, Java, and C#. He combines a double major in Computer Science and Data Science with practical wins at Capital One—where he improved payment APIs and built a widely adopted Python SDK—and later shipped ML features at FanDuel before joining dbt Labs. A first-generation college student and repeat project leader, he’s led large student research teams on adversarial and geospatial ML, producing high-accuracy CNN models and automating hundreds of hours of manual work via large-scale web scrapers. Jason co-founded Data Science for Sustainable Development, applying ML to social impact, and won Capital One’s Best Financial Hack for an Alexa ML integration — evidence of his knack for translating research and prototypes into user-facing products. He’s especially interested in NLP and computer vision and brings a pragmatic, metrics-driven approach to moving models from research into reliable production.
7 years of coding experience
6 years of employment as a software developer
Computer Science and Data Science Computer Science and Data Science, Computer Science and Data Science Computer Science and Data Science at William & Mary