Yizhou Wang
Machine Learning Engineer at Carnegie Mellon University
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolYizhou Wang is a Machine Learning Engineer with a decade of software and research experience, blending a strong mathematics background with hands-on development in React, Node, and C++. He has implemented applied ML solutions—from TDA-driven protein state classification that reduced reliance on costly crystallography to LLM-guided reward evaluation pipelines for video-informed reinforcement learning in autonomous driving. Comfortable across R and Python for data analysis and with research interests in statistical learning theory and variational inference, he moves fluidly between prototype research and production-focused systems. Based in Pittsburgh and trained at Carnegie Mellon, Yizhou is especially effective at translating mathematical insight into practical pipelines that cut cost and accelerate model validation.
10 years of coding experience
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Carnegie Mellon University
Chinese, English, French
Github Skills (17)
reinforcement-learning9
normalizing8
arxiv8
variational-autoencoder8
autoencoder8
pytorch8
deep-learning7
density-estimation7
modeling6
nlp5
natural-language-processing5
hpc-applications3
loss3
sequence2
hpc1
Programming languages (2)
Github contributions (5)
kingofspace0wzz/paper
Mar 2019 - Mar 2020
Contributions:47 commits, 18 pushes in 1 year
kingofspace0wzz/Matrix-Analysis
Jun 2017 - Nov 2017
Contributions:64 commits, 43 pushes, 1 branch in 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.