Yuguang Tong
Staff Software Engineer at Google
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolYuguang Tong is a Staff Software Engineer based in Berkeley with 11 years of experience building large-scale ML and data infrastructure at Google, focused on ads systems, privacy-preserving ML, and agentic AI for CRM workflows. He combines deep technical chops from a PhD in Physics with product-aware engineering—delivering feature stores, backfills, privacy-safe APIs, and structured data retrieval systems that power production ad and agentic services. His work spans the full ML lifecycle, from differential privacy model training to high-throughput data collection and compliance optimizations. Early internships at Facebook and Google and research at Los Alamos reflect a consistent pattern of translating research-grade ideas into robust production systems. Notably, he blends a scientist’s rigor with pragmatic engineering to ship compliance-sensitive, performance-optimized infrastructure at scale.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University of California, BerkeleyThe Chinese University of Hong Kong (CUHK)
English, Chinese, Chinese
Github Skills (14)
super-resolution7
deep-learning4
computer-vision4
generative-adversarial-network3
pytorch2
keras-tensorflow1
neural-network1
keras1
machine-learning1
python1
react-flow1
tensorflow1
toolbox1
langchain1
Programming languages (1)
Github contributions (5)
MandyZChen/srez
Apr 2017 - May 2017
Contributions:16 commits, 4 PRs in 15 days
deep-learningresolutioncomputer-visionsuper-resolutionimage-super-resolution
YuguangTong/qtn-proj
May 2015 - Jul 2019
Contributions:38 commits, 14 pushes, 1 branch in 4 years 2 months
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