Xiao Wu
Software Engineer at Google
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolXiao Wu is a software engineer with 9 years of experience applying machine learning and engineering practices to healthcare, automotive, and financial domains across industry leaders like Google, JPMorgan Chase, and Ford. He builds production data pipelines and deployable ML/NLP models—ranging from BERT-based text processing and sentiment/topic classification to time-series anomaly detection and 3D deep learning with PointNet++. His background in experimental and thermal-hydraulics research (PhD-level work at University of Michigan) gives him a strong footing in rigorous modeling, numerical methods, and systems thinking that he brings to production ML systems. Based in San Francisco, he combines research-grade modeling skills with hands-on deployment experience (FastAPI, Kubernetes, PySpark) to move prototypes into scalable services. An analytical problem-solver, he often blends unconventional techniques (e.g., persistent homology for 3D mesh features) into practical solutions that improve decision-making and operational outcomes.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Nuclear Engineering, Doctor of Philosophy - PhD, Nuclear Engineering at University of MichiganGithub contributions (5)
peterg889/w207_final_project
Apr 2017 - Sep 2017
Contributions:1 push in 4 months
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