Zhenxun Zhuang
Research Scientist at Meta
Bellevue, Washington, United States
Summary
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Senior🎓
Top SchoolZhenxun Zhuang is a research scientist at Meta with nine years of experience bridging theory and practice in non-convex optimization and machine learning. He earned a Ph.D. in Computer Science working with Francesco Orabona, focusing on designing and proving convergence for SGD variants while validating their empirical performance on deep learning tasks. His background spans implementing algorithms in PyTorch/TensorFlow, deploying ML features in production, and building tooling that dramatically accelerates model lineage tracing. Past internships resulted in published work (NeurIPS workshop, ICASSP) and measurable production gains, including a 20% accuracy improvement in one project and drastic reductions in pipeline latency. Based in Bellevue, WA, he combines rigorous theoretical insight with hands-on engineering that spans research prototypes to production systems.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Boston UniversityBachelor of Engineering - BE, Electronic Information Engineering, Bachelor of Engineering - BE, Electronic Information Engineering at University of Science and Technology of ChinaDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stony Brook University
Chinese, EnglishGithub contributions (5)
zhenxun-zhuang/SGDOL
Jul 2019 - Aug 2022
Contributions:22 commits, 21 pushes, 1 branch in 3 years 1 month
zhenxun-zhuang/SGD-Exponential-Cosine-Stepsize
Jun 2020 - Aug 2022
Contributions:5 commits, 30 pushes, 1 branch in 2 years 2 months
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