Peng Yan
Sr. Machine Learning Engineer at Pinterest
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolPeng Yan is a senior machine learning engineer with a decade of experience building production ML systems across fintech and consumer tech, currently at Pinterest after roles at LinkedIn and Wells Fargo. He blends strong programming skills with a formal statistics background (MA, UC Berkeley) to translate quantitative models into scalable, production-ready services. His career path spans research-inflected internships in computer vision and data science to quantitative analytics in banking, reflecting comfort with both experimental modeling and rigorous risk-sensitive environments. Known for a pragmatic "write less do more" approach, he emphasizes efficient, maintainable solutions that ship. Based in the San Francisco Bay Area, he brings cross-cultural training from Tsinghua and Berkeley and a track record of moving models from prototype to live inference.
10 years of coding experience
3 years of employment as a software developer
Master of Arts - MA Statistics, Master of Arts - MA Statistics at University of California, BerkeleyBachelor's degree Bachelor in English Language, Bachelor's degree Bachelor in English Language at Tsinghua University
English, Chinese
Github Skills (1)
ethereum10
Programming languages (1)
Github contributions (5)
nepyanbin/fly2017
Apr 2017 - Oct 2018
Contributions:1 release, 16 pushes, 1 branch in 1 year 6 months
nepyanbin/MarvelSDK-Docs
Jan 2020 - Jan 2020
Contributions:2 PRs, 5 pushes, 1 branch in 3 days
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