Jaeyoon Kim
Machine Learning Engineer at NAVER Corp
Seoul, South Korea
Summary
🤩
Rockstar🎓
Top SchoolJaeyoon Kim is a Machine Learning Engineer based in Seoul with 11 years of engineering experience combining ML production work, backend systems, and applied research. Currently at NAVER working on AI recommender systems and search, he brings a systems-minded approach informed by earlier backend contributions to the popular Pinpoint APM project—adding JDBC plugins and improving async tracing for large-scale distributed monitoring. He holds MS and BE degrees from Georgia Tech and Georgia Institute of Technology (mechanical → CS transition), reflecting a multidisciplinary background that helps bridge model development with reliable production infrastructure. His experience spans startup R&D under Korea’s TIPS program and hands-on quality engineering in automotive manufacturing, signaling a pragmatic focus on robustness and scalability.
11 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at The SMIC Private School(Shanghai, China)Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Github Skills (8)
javas10
jdbc10
java10
data-integration9
databases9
sql-database9
performance-monitoring8
thrift7
Programming languages (5)
Github contributions (5)
pinpoint-apm/pinpoint
Sep 2014 - Jan 2023
APM, (Application Performance Management) tool for large-scale distributed systems.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:21 reviews, 922 commits, 1348 PRs in 8 years 5 months
Contributions summary:Jaeyoon primarily contributed to the backend functionality of the Pinpoint APM project, focusing on adding and modifying features related to database interaction and monitoring. Their work involved the addition of JDBC plugins for the NBase-T database and various enhancements to the database connection. They also made changes to the tracing logic, notably related to handling asynchronous operations.
performance-managementmanagement-toolmonitoringapplication-performance-managementlarge-scale
jaehong-kim/pinpoint
Mar 2021 - Mar 2025
APM, (Application Performance Management) tool for large-scale distributed systems.
Contributions:30 pushes, 603 branches in 4 years
large-scale-distributedapmperformance-managementperformance-tuningapplication-performance-management
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