Kaisen Chen is a seasoned software engineer based in San Francisco with 13 years of experience building backend and DevOps systems, currently contributing to Yelp’s platform engineering. He has deep practical experience in distributed PaaS work—improving performance-check tooling, fixing integration bugs, and automating local service discovery for projects like Yelp/paasta. His background spans academic lab programming at Stanford Medicine and teaching discrete math at Michigan, giving him a strong foundation in algorithms, reproducible research, and tooling for scientific environments. Early internships at Intuit, Teradata, and CareFusion sharpened his operational mindset and automation skills. Colleagues describe him as a pragmatic problem-solver who bridges research-grade rigor with production reliability.
13 years of coding experience
14 years of employment as a software developer
University of California San Diego
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at University of Michigan
Contributions:2 reviews, 47 commits, 12 PRs in 3 years 5 months
Contributions summary:Kaisen's contributions center around enhancing the PaaSTA platform's performance check functionality. They implemented a feature to make requests to a performance-check service, incorporating parameters from configuration files. Furthermore, they fixed Flake8 issues related to imports and addressed a bug related to the performance-check configuration. Additionally, the user added a script to output a list of locally running marathon services and integrated it with the setup.py.
Contributions:2 PRs, 10 pushes, 2 branches in 1 year 2 months
golangtencent-cloudproxyedgeload-balancing
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