Seunghyun Lee
Co-Founder at The Apache Software Foundation
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSeunghyun Lee is a software engineer and entrepreneur with nine years of experience building scalable distributed systems, currently co-founding Platoon in Mountain View. He has deep expertise in real-time OLAP datastores as an Apache Pinot PMC member and contributor, where he implemented table management, segment assignment strategies, and new aggregation functions in core Java. Prior roles include Staff Software Engineer at LinkedIn and Tech Lead at StarTree, blending hands-on backend development with team leadership and product-focused delivery. His academic foundation in Computational Data Science from Carnegie Mellon and a CS degree from Duke inform a data-driven approach to system design. Seunghyun is comfortable operating between open-source communities and startup environments, often tackling thorny rebalancing and replication challenges that most engineers rarely touch. He combines practical implementation skills with a knack for turning complex distributed-data problems into maintainable production features.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science Computer Science, Bachelor of Science Computer Science at Duke UniversityMaster of Computational Data Science Systems Track, Master of Computational Data Science Systems Track at Carnegie Mellon University
Korean, English
Github Skills (9)
javas10
apache-pinot10
aggregate10
aggregates10
aggregations10
aggregate-functions10
tabs-management10
java10
tab-management10
Programming languages (5)
Github contributions (5)
apache/pinot
Nov 2022 - Dec 2022
Apache Pinot - A realtime distributed OLAP datastore
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 releases, 904 reviews, 8 commits in 1 month
Contributions summary:Seunghyun primarily contributed to the backend logic of Apache Pinot, focusing on features related to table management and segment assignment. They addressed issues related to rebalancing real-time tables with tiers and combined read access for replication configurations. Furthermore, they added new aggregation functions like variance and standard deviation. Their work involved modifying core Java files, including the segment assignment strategies and TableConfig files.
realtimedata-streamolapapachedatastore
snleee/pinot
Apr 2017 - May 2024
Contributions:1 release, 10 PRs, 565 pushes in 7 years 1 month
realtimeolapdatastoredistributed
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