Wei-yi Cheng
New Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolWei-yi Cheng is a data scientist with 14 years of experience combining atmospheric science research and applied AI/ML in cloud environments, currently helping enterprises unlock data value at AWS ProServe. With a PhD from the University of Washington, he translated domain expertise in storm dynamics and large-scale geophysical datasets into machine learning models for lightning forecasting and spatial clustering metrics. At AWS he bridges cloud support and data science, operationalizing AI/ML workloads for customers while drawing on hands-on experience managing multi-terabyte model outputs and advanced statistical analysis. Based in New Taipei, Taiwan, he is equally at home discussing cloud architecture, model deployment, or the science behind the data—a blend of research rigor and production-focused engineering not always obvious from a typical cloud role.
14 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Atmospheric Sciences, Doctor of Philosophy - PhD, Atmospheric Sciences at University of WashingtonMaster's degree, Atmospheric Sciences and Meteorology, Master's degree, Atmospheric Sciences and Meteorology at National Taiwan University
Chinese, English
Github Skills (1)
javascript3
Github contributions (5)
weiyi-bitw/varnorm
Dec 2014 - Feb 2017
Contributions:12 commits, 6 pushes, 1 tag in 2 years 2 months
weiyi-bitw/cafr
Oct 2012 - Sep 2015
Contributions:35 commits, 5 pushes, 2 branches in 2 years 11 months
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