Gang Yang
Machine Learning Engineer at Meta
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolGang Yang is a Machine Learning Engineer with a Ph.D. in Physics and nine years of experience building production-grade ML and quantitative systems across finance and tech. He moved from developing derivative pricing models and a next-generation risk engine as a front-office quant at Barclays to driving large-scale personalization and recommender systems at Amazon that produced sizable business impact. Now at Meta AI, he applies deep computational-physics rigor to applied machine learning problems, bridging research-level modeling with engineered, scalable pipelines. Based in Menlo Park, he combines strong academic credentials from Penn State and Tsinghua with a pragmatic track record of shipping data- and model-driven products that handle hundreds of gigabytes and serve global audiences.
9 years of coding experience
3 years of employment as a software developer
Graduate, Computational Physics, 3.98/4, Graduate, Computational Physics, 3.98/4 at Penn State UniversityBS, Math and Physics, BS, Math and Physics at Tsinghua University
Chinese, EnglishGithub contributions (5)
yanggangthu/BooleanDOI
Dec 2017 - Mar 2018
Contributions:26 commits, 9 pushes in 3 months
yanggangthu/transformers
Jul 2023 - Jul 2023
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Contributions:2 pushes in 1 day
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