Zebing Lin - Software Engineer at Meta

Zebing Lin

Software Engineer at Meta

New York, New York, United States

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Summary

👤

Senior

🎓

Top School

Zebing 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

7 years of employment as a software developer

High School Diploma, High School Diploma at NO.1 Middle School Affiliated to Central China Normal University

Summer Session, Summer Session at Yale University

Master's degree Computational Data Science, Master's degree Computational Data Science at Carnegie Mellon University

Bachelor of Science (B.S.) Computer Science and Technology, Bachelor of Science (B.S.) Computer Science and Technology at Shanghai Jiao Tong University

Chinese, English

Github Skills (9)

react4

vitejs3

typescript3

css3

nodes3

nextjs3

vite2

css-modules2

Programming languages (2)

TypeScriptJavaScript

Github contributions (5)

zebing/zebing.github.io

Jun 2017 - Dec 2020

Contributions:79 pushes, 2 branches in 3 years 7 months

zebing/vue3-analyse

May 2022 - Jun 2022

Contributions:82 commits, 131 pushes, 1 branch in 1 month

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