zebing
Shenzhen, Guangdong Province, China
Summary
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SeniorZebing Lin is a software engineer with nine years of experience building data infrastructure and large-scale distributed systems, currently focused on LLM inference at Meta. His background includes recommender systems ML infra and fault-tolerant execution work—contributions at Starburst and Facebook/Meta that centered on scaling Apache Spark and productionizing resilient query execution. He holds a master's in Computational Data Science from Carnegie Mellon and a BS in Computer Science from Shanghai Jiao Tong University, bringing rigorous academic foundations to production engineering. Based in New York, he blends low-level distributed-systems thinking with ML-serving concerns, and is not actively seeking new opportunities. An understated thread through his career is repeatedly designing systems for fault tolerance and scalability across both open-source and proprietary platforms.
9 years of coding experience
Github Skills (5)
react4
typescript3
css-modules3
nextjs3
vitejs2
Programming languages (2)
Github contributions (5)
zebing/zebing.github.io
Jun 2017 - Dec 2020
Contributions:79 pushes, 2 branches in 3 years 7 months
zebing/code-webpack
Aug 2021 - Apr 2022
Contributions:38 commits, 22 pushes, 2 branches in 7 months
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