Roger Sheu
Tech Lead at Zelig
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRoger Sheu is a Tech Lead based in Los Angeles with five years of professional experience bridging backend, data, infrastructure, and machine learning engineering. He advanced from Ph.D.-level research in environmental engineering at Yale through a postdoc to industry roles, bringing deep analytical rigor to production systems and data-driven product work. At Zelig he progressed from a full-stack engineering role to lead technical direction, applying research-grade problem solving to practical infrastructure and ML pipelines. Roger’s background in chemistry and mathematics underpins a quantitative approach to engineering tradeoffs, and he thrives at the intersection of data science and scalable system design. Colleagues describe him as someone who translates complex models into reliable, maintainable services and who enjoys turning academic insights into product impact.
5 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Environmental Engineering, Doctor of Philosophy (Ph.D.) Environmental Engineering at Yale UniversityBachelor of Arts (B.A.) Chemistry and Mathematics Double Major, Bachelor of Arts (B.A.) Chemistry and Mathematics Double Major at Pomona College
English, Chinese, Spanish
Github Skills (35)
static-code-analysis10
static-analysis10
matrix-org10
chess10
linter10
homeserver10
python9
scala9
typescript9
nodejs9
functional-programming9
lichess9
mongodb9
rust7
ruff6
Programming languages (6)
Github contributions (5)
rogersheu/All-NBA-Predictions
Nov 2021 - Jan 2024
Machine Learning algorithms to predict all-star/all-NBA selections through comparison to past selections.
Contributions:14 PRs, 245 pushes, 17 branches in 2 years 2 months
machine-learning-algorithmsdata-sciencemachine-learningnbapython
rogersheu/rogersheu
May 2021 - Aug 2024
Contributions:34 pushes, 1 branch in 3 years 4 months
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