Philip Xia
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolPhilip Xia is a software engineer with a decade of experience building large-scale AI and distributed systems, currently working on OpenAI runtime and inference reliability at Microsoft in the Bay Area. His background spans fast-paced product engineering at Tesla (infotainment and in-car services), cloud ML research at Wharton, and production platform work at Meta, reflecting strength across backend systems, C++/Qt client code, Go/GRPC services, and ML infrastructure. He has entrepreneurial chops—founding multiple startups and serving as founding tech lead—bringing product instincts to infrastructure problems. A dual-degree background from ShanghaiTech and UPenn underpins his ability to bridge research-grade ML (BERT finance models on SageMaker) with production reliability at scale. Notably, he reduced tangible customer pain in deployed systems (e.g., an 80% drop in music-service complaints at Tesla) and consistently focuses on operational robustness in AI deployments.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at ShanghaiTech UniversityMaster of Science in Engineering Electrical and Electronics Engineering, Master of Science in Engineering Electrical and Electronics Engineering at University of Pennsylvania
Chinese, English, French
Github Skills (111)
computer-vision10
reservation-system10
docker-engine10
wifi10
vpn9
face9
docker-swarm9
api9
site-generator9
peer-to-peer9
python9
asp-net-core9
switch9
opencv9
asp-net9
Programming languages (14)
Github contributions (5)
philipxyc/MathMLToCSharp
Sep 2017 - May 2018
MathML to C# expression Converter
Contributions:32 commits, 6 PRs, 28 pushes in 8 months
mathmarkup-languagecsharpmathmlconverter
philipxyc/SuperHexEditor
Apr 2018 - Nov 2018
Contributions:12 commits, 9 pushes, 1 branch in 7 months
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