Sean Huang
Software Engineer at Stripe
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolSean Huang is a software engineer with nine years of experience at the intersection of tech and quantitative finance, currently building multi-region systems at Stripe out of Chicago. He bridges production engineering and research, having worked on federated learning with novel cryptographic primitives at Berkeley RISE Lab and taught core CS courses at UC Berkeley. Sean’s background in applied math and computer science (double major, 4.0) underpins a rigorous approach to scalable distributed systems and privacy-preserving ML. He returned to Stripe after an internship where he worked on merchant-facing intelligence and review platforms, demonstrating both product sensibility and low-level systems chops. Comfortable moving between research and production, he brings experience in industry relations and technical mentorship from Machine Learning at Berkeley and university reader roles. Colleagues describe him as analytically meticulous with a rare fluency in both cryptography-informed ML research and operationalizing resilient cloud services.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Double major in Applied Math and Computer Science, 4.0, Bachelor's degree, Double major in Applied Math and Computer Science, 4.0 at University of California, BerkeleyHigh School Diploma, General Studies, 4.0, High School Diploma, General Studies, 4.0 at Chengdu Jiaxiang Foreign Languages SchoolSummer Certificate, Computer Science, 4.187, Summer Certificate, Computer Science, 4.187 at Stanford University
Github Skills (40)
git10
gitignore10
php10
spider10
crawler10
version-control10
redis9
proxy9
http9
proxypool9
elastic8
python8
laravel7
data-annotation6
scanning5
Programming languages (6)
Github contributions (5)
zehao-sean-huang/zehaohuang.cn
Mar 2019 - Jul 2020
Personal website for Zehao Huang
Contributions:22 commits, 19 pushes, 1 branch in 1 year 4 months
huanghugo
FunnelFoods/funnelfoods.com
Feb 2019 - Jun 2019
A machine learning based food recipe and shopping list recommendation app. Users can get reminders of expiring food by scanning their shopping receipt while the app learns the user's dining pattern.
Contributions:27 commits, 22 pushes in 3 months
machine-learning
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