Jiazhou Wang
Software Engineer at Meta
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolJiazhou Wang is a software engineer at Meta with nine years of experience bridging machine learning research and production systems, holding a Ph.D. in Applied Mathematics. He has driven ML-driven products from end-to-end—building federated learning pipelines, recommendation systems, and robust Ads A/B testing tooling focused on detectability and explainability. Earlier roles combined quantitative trading research and hands-on engineering (Python, C, Java, iOS Swift), reflecting fluency across research, systems, and product codebases. His background in convex optimization and reinforcement learning has repeatedly translated into measurable gains, such as a RL credit-authorization agent that outperformed baselines by 15%. Based in Brookhaven, NY, he brings a rare blend of academic rigor and pragmatic production experience to complex ML and optimization problems.
9 years of coding experience
3 years of employment as a software developer
Physics, Physics at Nankai UniversityPh.D., Applied Mathematics and Statistics, Ph.D., Applied Mathematics and Statistics at Stony Brook University, State University of New Yorknankai highschool
Github Skills (17)
decision-making8
robotics8
algorithm8
multi-agent-reinforcement-learning8
distributed-computing7
reinforcement-learning7
mpc6
ai6
matrix-multiplication6
machine-learning6
pytorch6
privacy-enhancing-technologies5
multi-party-computation5
python5
confidential-computing4
Programming languages (2)
Github contributions (5)
cyqclark/fedlearn-algo
Jul 2021 - Jan 2022
Fedlearn支持前沿算法研发的Python工具库 | Fedlearn algorithm toolkit for researchers
Contributions:56 commits, 14 PRs, 5 pushes in 5 months
guabao/leetcode
Apr 2017 - Apr 2022
Contributions:69 pushes, 1 branch in 5 years
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