Sean 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.
8 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, Berkeley
High School Diploma, General Studies, 4.0, High School Diploma, General Studies, 4.0 at Chengdu Jiaxiang Foreign Languages School
Summer Certificate, Computer Science, 4.187, Summer Certificate, Computer Science, 4.187 at Stanford University
Contributions:323 pushes, 1 branch in 7 years 7 months
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