Chen-hsi Huang
Machine Learning Software Engineer at Google
New Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolChen-hsi Huang is a Machine Learning Software Engineer with 11 years of experience applying ML and computational materials science across industry and academia. He currently builds ML solutions at Google, with prior roles developing defect-detection deep learning, C++/CUDA inspection algorithms at KLA and end-to-end production ML pipelines for insurance analytics at CLARA. His background includes a PhD in Materials Engineering from UCLA where he wrote C++ kinetic Monte Carlo simulators and invented a multi-state Ising model for alloy evolution, showing strong simulation and algorithmic foundations. A Kaggle Master with a gold in web-traffic forecasting and multiple medals, he blends competitive modeling skills (XGBoost, Keras) with production engineering. Chen-hsi’s work stands out for crossing the research–production divide: he moves novel physical models into robust code and scalable ML systems. Based in New Taipei, Taiwan, he brings a rare combination of materials-science theory, high-performance C++/CUDA implementation, and modern ML productization.
11 years of coding experience
8 years of employment as a software developer
Nanodegree, Machine Learning Engineer, Nanodegree, Machine Learning Engineer at UdacityBachelor of Science (B.S.), Materials Science, Bachelor of Science (B.S.), Materials Science at National Tsing Hua UniversityDoctor of Philosophy (Ph.D.), Materials Engineering, Doctor of Philosophy (Ph.D.), Materials Engineering at University of California, Los Angeles
Chinese, English
Github Skills (7)
statistics9
machine-learning8
python8
data-science7
data-analysis7
scikit-learn6
scikit5
Programming languages (2)
Github contributions (5)
skyhuang1208/kmc_ABVI_surface
Aug 2015 - Feb 2017
Contributions:30 commits, 35 pushes, 4 branches in 1 year 6 months
skyhuang1208/kmctools_surface
Sep 2015 - Apr 2017
Contributions:8 pushes, 1 branch in 1 year 7 months
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