Jiapeng Tao
Software Engineer at LinkedIn
San Jose, California, United States
Summary
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Rockstar🎓
Top SchoolJiapeng Tao is a Software Engineer based in San Jose with seven years of experience building backend systems, currently contributing at LinkedIn. He holds a master's in Computer Science from Northeastern with a perfect 4.0 GPA and focuses on distributed, real-time data infrastructure. His open-source contributions to Apache Pinot include minion process tooling, segment management APIs, and accuracy improvements to time segment pruning—work that strengthens real-time OLAP workflows. Practical and detail-oriented, he combines production-grade bug fixes with new feature development and documentation, showing a balance of maintenance and innovation. Colleagues can expect a developer who brings both academic rigor and hands-on systems experience to large-scale data problems.
7 years of coding experience
Master's degree, Computer Science, 4.0/4.0, Master's degree, Computer Science, 4.0/4.0 at Northeastern University
Stackoverflow
1reputation
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Github Skills (8)
javas10
api10
back-end-development10
apidoc10
java10
data-structure9
data-structures9
testing8
Programming languages (2)
Github contributions (5)
apache/pinot
Oct 2020 - Nov 2022
Apache Pinot - A realtime distributed OLAP datastore
Role in this project:
Back-end Developer
Back-end DeveloperContributions:276 reviews, 40 commits, 68 PRs in 2 years
Contributions summary:Jiapeng contributed to the Apache Pinot project, focusing on implementing and improving functionalities related to the minion process and segment management. They developed a command-line starter for the minion, added new API endpoints, and fixed a bug that caused the RealtimeTableDataManager to shut down the SegmentBuildTimeLeaseExtender prematurely. They also made enhancements to the time segment pruner, improving its accuracy and functionality. Further contributions include adding features and performing general code maintenance, such as documentation and testing improvements.
apache-pinotolapjava
jtao15/presto
Nov 2019 - Jan 2020
Official home of the community managed version of Presto, the distributed SQL query engine for big data, under the auspices of the Presto Software Foundation.
Contributions:50 pushes, 4 branches in 2 months
queryquery-enginesqlbig-dataspark
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