Jay Tsang
Software Engineer at Google DeepMind
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolJay Tsang is a software engineer with 10 years of experience focused on machine learning-driven systems and data pipelines, currently contributing to Google DeepMind after eight years building ML notification infrastructure at Google. A University of Washington CS graduate, he has a track record of simplifying complex data generation and ownership to produce faster training cycles and fresher models, and has led experiments to measure and mitigate bias in personalization. He’s comfortable across the stack—from designing randomized data collection and debiasing techniques to implementing production-ready pipelines—and has applied those skills to improve label richness and model performance. Earlier roles at Microsoft and startups sharpened his tooling and MVVM/C# expertise, while tutoring and teaching roles reflect a sustained commitment to mentoring and helping others learn. Based in the San Francisco Bay Area, Jay is passionate about technologies that foster social interaction and sustainability, blending pragmatic engineering with human-centered impact. An understated strength is his ability to translate research-style experimentation into operational systems that meaningfully improve user-facing outcomes.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.), Computer science, 3.5, Bachelor of Science (B.S.), Computer science, 3.5 at University of WashingtonInternational Baccalaureate Diploma, 3.9/4.0 Unweighted, International Baccalaureate Diploma, 3.9/4.0 Unweighted at Inglemoor High School
English, Chinese, ChineseGithub contributions (3)
google-research-datasets/adversarial-nibbler
Apr 2024 - Feb 2025
Contributions:1 release, 11 pushes, 1 tag in 9 months
ischaaf/BuddingBudget
Feb 2016 - Mar 2016
Contributions:83 commits, 12 PRs, 65 pushes in 29 days
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