Ziyin Feng is a software engineer with 9 years of experience building scalable, production-critical systems, currently focused on auction and allocation services for Amazon Sponsored Products. At Amazon they engineered Tier 1 services that achieved 99.99% uptime, designed auction algorithms that contributed to a $500M revenue lift, and automated experiment deployment on AWS to cut setup time from two weeks to two days. Earlier roles span full‑stack work at Columbia’s EdLab using React/Redux and Node.js, Ruby on Rails development, and hands-on infrastructure and reporting support in financial services. Ziyin blends strong backend systems design with practical experimentation platforms, having enabled over 200 internal A/B tests organization-wide. Based in New York, they pair a Master’s in Computer Science from Stevens with a track record of turning complex algorithms into reliable, fast-moving production features.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Stevens Institute of Technology
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Dalian University of Technology
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