Chunxu Tang

Staff Software Engineer at LinkedIn

Mountain View, California, United States
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Summary

🤩
Rockstar
🎓
Top School
Chunxu Tang is a staff software engineer and researcher with 11 years of experience building large-scale data and AI infrastructure, currently focused on model serving, vector analytics, and retrieval systems. He has driven core AI infra at LinkedIn and contributed cloud-native data access and caching solutions at Alluxio that boosted GPU utilization to 90%+ for enterprise ML workloads. A long-time open-source committer to PrestoDB—where he has improved the engine’s front-end and tooling—he also helped evolve Twitter’s Presto deployment that processed ~10 PB/day. His work spans distributed systems, query processing, and ML-powered pipelines, and earned the IEEE IC2E Best Industry Track Paper Award for industry-impactful ML-driven data systems. Based in Mountain View with a Ph.D. in Computer Engineering, Chunxu combines deep research rigor with production-scale engineering and cross-company collaboration (e.g., partnerships with Uber) to close the gap between ML research and deployable infrastructure.
code11 years of coding experience
job6 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.) Computer Engineering, Doctor of Philosophy (Ph.D.) Computer Engineering at Syracuse University
bookBachelor of Engineering (B.E.), Bachelor of Engineering (B.E.) at Xiamen University
languagesEnglish, Chinese
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Github Skills (8)

uid10
javascript10
front-end-development10
ui-design10
react10
webpacker9
webpack9
sql6

Programming languages (6)

TypeScriptJavaC++JavaScriptGoPython

Github contributions (5)

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prestodb/presto

May 2020 - Dec 2022

The official home of the Presto distributed SQL query engine for big data
Role in this project:
userFront-end Developer
Contributions:191 reviews, 58 commits, 53 PRs in 2 years 7 months
Contributions summary:Chunxu primarily focused on improving the user interface for the Presto distributed SQL query engine. Their work involved implementing a production mode for building the web distribution, refactoring strings using template literals, and formatting quotes in the webpack configuration file. Additionally, they modified the code to format the quotes of mode to single quotes and double quotes in the getChildren() method.
distributed-sqlquerybigdataquery-enginesql
AI reference architecture with Alluxio
Contributions:22 reviews, 9 PRs, 36 pushes in 8 months
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Chunxu Tang - Staff Software Engineer at LinkedIn