Fei Feng
Senior Machine Learning Engineer at Pinterest
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolFei Feng is a Senior Machine Learning Engineer with a Ph.D. in Applied Mathematics from UCLA and about a decade of experience applying reinforcement learning, convex optimization, and asynchronous parallel computing to production systems. Since 2021 he has focused on real-time ads bidding and ads-quality at Pinterest, turning theoretical research on efficient exploration and optimization into scalable, low-latency services. His background includes applied research internships at ByteDance and DiDi, giving him cross-industry exposure to large-scale recommendation and algorithmic systems. Fei thrives on resolving open-ended technical questions and is driven to stay current with state-of-the-art methods while delivering practical solutions. Colleagues describe him as positive, self-driven, and curious, with a penchant for combining deep theory with engineering pragmatism. Outside work he maintains a broad set of interests, which helps him approach problems creatively.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Mathematics, Bachelor of Science - BS Mathematics at Fudan UniversityUniversity of California, Los Angeles
Github Skills (9)
stochastic4
decoding4
parallel3
async3
toolbox3
reinforcement-learning2
asynchronous2
deep-reinforcement-learning2
splitting1
Github contributions (5)
uclaopt/IPSVRG
Jan 2019 - May 2019
Contributions:8 commits in 3 months
FlorenceFeng/StateDecoding
Mar 2020 - Oct 2020
Reinforcement Learning via Latent State Decoding
Contributions:4 commits, 4 pushes in 7 months
decodingreinforcement-learningdeep-reinforcement-learninglatentreinforcement
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