Summary
Yi Guo is a Staff Machine Learning Engineer with 10 years of experience building scalable infrastructure for ML, simulation, and distributed systems across autonomous driving and cloud services. He has driven performance optimization and analysis at Xmotors.ai and architected closed-loop, log-driven simulation and labeling pipelines at QCraft AI that accelerated iterations for real-world L4/L2++ deployments. Prior roles at Google and QCraft demonstrate strong systems engineering chops—C++, Protobuf/gRPC, Kubernetes, and large-scale Cassandra deployments—paired with UI pipeline work for Ads and YouTube. Trained in computer graphics and computational geometry at the University of Pennsylvania, he brings a rare blend of low-level rendering, topology research, and production ML infrastructure experience. Based in Philadelphia, he combines academic rigor with pragmatic engineering to turn complex simulation and performance problems into deployable, measurable systems.
10 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree Information Science (Geo ), Bachelor’s Degree Information Science (Geo ) at Capital Normal University
Master's degree Computer Science, Master's degree Computer Science at University of Pennsylvania
Chinese, English