Eric Chea
Engineering Manager, Machine Learning at Alloy
United States
Summary
🤩
Rockstar🎓
Top SchoolEric Chea is an engineering manager specializing in machine learning with 11 years of experience building and shipping ML-driven products across regulated and high-impact domains like healthcare, supply chain, and fraud detection. Currently leading Alloy’s Fraud Signal lifecycle, he blends hands-on ML lifecycle ownership with people leadership, previously scaling data and ML teams at Lightning AI, Thirty Madison, McKesson, Phreesia, and the FDA. His background is unusually interdisciplinary—holding a Ph.D. in organic chemistry and dual BS studies in biotechnology and electrical & computer engineering—which informs a pragmatic, scientifically rigorous approach to production ML. Known for turning complex, compliance-sensitive requirements into reliable production systems, he thrives at the intersection of research, engineering, and operational excellence.
11 years of coding experience
9 years of employment as a software developer
Ph.D. , Organic Chemistry, Ph.D. , Organic Chemistry at Cornell UniversityCal Poly Pomona
English, teochew
Github Skills (29)
lightning10
pytorch10
artificial-intelligence10
python10
data-science10
lifecycle10
data-manipulation10
dataframes10
pandas10
machine-learning10
scaling10
manipulation10
cost-management10
infrastructure10
deep-learning10
Programming languages (4)
Github contributions (5)
Lightning-Universe/BigQuery-component
May 2022 - Jul 2022
Contributions:67 commits, 7 PRs, 5 pushes in 2 months
Lightning-AI/LAI-github-data
Jul 2022 - Aug 2022
Lightning App to fetch data from Github
Contributions:26 reviews, 7 PRs, 23 pushes in 24 days
fetchlightningfetch-data
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