Senior Software Engineer at Data Science for Sustainable Development
San Francisco, California, United States
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Summary
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Rockstar
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Top School
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
4 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
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