Peng Guan is a Staff Software Engineer at Google with 13+ years of experience building planetary-scale distributed systems and agentic AI architectures, combining a PhD in Machine Learning/Computer Vision with 1,000+ citations. He architects end-to-end data flywheels and AutoEval systems for Gemini—turning production logs into high-fidelity training signals and reducing evaluation cycles from weeks to hours. Previously he led the 0→1 transformation of Google Home’s backend to a 30+ microservice mesh serving 40M+ users at ~50k QPS and managed multi-region teams while mentoring multiple promoted engineers. Peng blends deep research chops (DRAPE clothing and 3D body reconstruction) with pragmatic platform engineering, and has pioneered multimodal AutoRaters and autonomous loss-analysis planners that directly informed model release decisions. Notably, he often bridges prototype-to-platform gaps, driving tools and frameworks that shift organizational workflows rather than only incremental improvements.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Brown University
Contributions:29 pushes, 1 branch in 1 year 10 months
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