Tin
Product Engineer
New York, New York, United States
Summary
🤩
RockstarTin Nguyen is a quantitative researcher with six years of experience translating advanced Bayesian inference and statistical algorithms into systematic trading strategies and applied ML tools. He holds a PhD from MIT where his work produced inference algorithms and sensitivity-detection methods published at NeurIPS, AISTATS and Bayesian Analysis, and he has repeatedly demonstrated orders-of-magnitude runtime improvements in validation and inference tasks. At Quantbot he quickly moved from intern to full researcher, applying rigorous statistical thinking to live trading systems, and prior internships at IBM exposed him to robust testing of learned features under domain shift. Tin combines deep theoretical training with practical engineering instincts—he designs methods with provable guarantees that are engineered to run efficiently in production. Based in New York, he brings a rare blend of academic rigor and product-minded execution to quantitative research problems.
6 years of coding experience
Github Skills (10)
mobile-application10
objective-c10
swift10
react-native9
android9
ios9
react8
javascript7
graphql6
typescript6
Programming languages (1)
Github contributions (3)
artsy/palette
Oct 2019 - Nov 2020
Artsy's design system
Contributions:4 comments in 1 year 2 months
design-systemsreactartsydesign-system
artsy/eigen
Oct 2020 - May 2021
The Art World in Your Pocket or Your Trendy Tech Company's Tote, Artsy's mobile app.
Contributions:1 review, 2 comments in 7 months
mobile-applicationobjective-cswiftapp-storereact-native
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