Brian Lam is a software engineer with 11 years of experience building large-scale distributed systems and user-data infrastructures at Google and Microsoft, now focused on Gemini model serving infrastructure at Google DeepMind. He has deep expertise in designing data storage and privacy controls—having architected Gemini's activity data systems and authored Google's internal handbook on storing user data. Brian blends systems-level C++ engineering that supports tens of millions of queries per second with pragmatic leadership as a tech lead and office-hours expert for cross-company feature teams. He currently leads efforts to automate privacy enforcement using AI, a rare intersection of legal/privacy literacy and production ML systems engineering. Based in New York, he began his career contributing to Excel’s Smart Data Types and retains a strong background in prototyping and teaching from his university roles.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Washington University in St. Louis
Contributions:140 commits, 4 PRs, 115 pushes in 1 year 11 months
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