Samuel Chiang is a product-minded data analyst with 10 years of experience translating user behavior into measurable growth and product improvements across marketplaces and consumer platforms. Based in San Francisco, he has driven experimentation, search and discovery enhancements, and seller growth initiatives at Grailed and now focuses on product growth at Meta. His background spans risk and operations analytics at OfferUp and Amazon, plus an MS in Business Analytics from UW Foster, giving him a strong blend of technical rigor and product intuition. He also contributes backend code to cryptography projects like AWS-LC, signaling comfort working in security-sensitive, production-grade codebases. Known for building scalable reporting and instrumentation, he combines curiosity-driven creativity with a knack for turning complex data into actionable product decisions.
10 years of coding experience
5 years of employment as a software developer
Bachelor's Economics Informatics, Bachelor's Economics Informatics at University of Washington
Master of Science - MS Business Analytics, Master of Science - MS Business Analytics at UW Foster School of Business
AWS-LC is a general-purpose cryptographic library maintained by the AWS Cryptography team for AWS and their customers. It іs based on code from the Google BoringSSL project and the OpenSSL project.
Role in this project:
Back-end Developer
Contributions:4 releases, 1450 reviews, 94 commits in 1 year 8 months
Contributions summary:Samuel's commits primarily involve merging updates and incorporating new features into the AWS-LC cryptographic library. These changes include incorporating code from the Google BoringSSL and OpenSSL projects, enhancing the library with support for HPKE (Hybrid Public Key Encryption) and the integration of new functions for ECDSA signature validation. These contributions indicate a focus on expanding the functionality and maintaining the library, likely for production use within AWS services.
Contributions:2 commits, 1 push, 1 branch in 1 year 1 month
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