Ray Gao
Senior Software Engineer at Uber
United States
Summary
🤩
Rockstar🎓
Top SchoolRay Gao is a Senior Software Engineer with 12 years of experience building large-scale data and ads platforms, currently driving Data Platform and GenAI work at Uber. He previously developed ad-serving infrastructure at Amazon and Paytm Labs and has solid backend engineering roots from his time at TradeRev. Trained in Computer Science at the University of Waterloo, Ray blends research-minded problem solving (noted by his FAIR research engineer affiliation on GitHub) with pragmatic production delivery. He excels at operationalizing ML and generative-AI capabilities into data platforms, bridging research prototypes and reliable services. Colleagues describe him as a dependable engineer who surfaces elegant system-level solutions for high-throughput, low-latency environments.
12 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Waterloo
Github Skills (7)
chemistry10
computational-chemistry10
materials-informatics10
encoding9
visual-recognition9
pytorch7
deep-learning6
Programming languages (1)
Github contributions (5)
rayg1234/pytlib
Mar 2017 - Dec 2019
A pytorch framework for building neurals networks for visual recognition, encoding, and detection tasks. The goal is to bridge the gap between research and production code, making AI/CV research code re-usable and reproducible
Contributions:264 commits, 5 PRs, 95 pushes in 2 years 10 months
pytorchgoaldeep-learningbridgerecognition
rayg1234/test_repo_original
Apr 2025 - Apr 2025
Just testing
Contributions:4 PRs, 2 pushes, 2 branches in 1 day
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