Sungjin Lee

Software Developer at 카카오엔터프라이즈 (Kakao Enterprise)

Saemkkumi, Gyeonggi, South Korea
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Summary

🤩
Rockstar
🎓
Top School
Sungjin Lee is a software developer with nine years of experience specializing in distributed systems and observability, currently building cloud-native infrastructure at Kakao Enterprise. He is a maintainer-level contributor to the CNCF Cortex project, where he added query execution metrics (including cortex_query_samples_total) and enhanced ruler query statistics to improve Prometheus long-term storage observability. With a master's in computer science from KAIST and a bachelor's from Pusan National University, he blends strong academic grounding with practical production engineering. Based in Gyeonggi, South Korea, Sungjin focuses on backend Go development and performance instrumentation for large-scale multi-tenant systems. Peers describe him as someone who turns low-level telemetry into actionable insights, helping teams make data-driven reliability improvements.
code9 years of coding experience
book학사 정보컴퓨터공학부, 학사 정보컴퓨터공학부 at Pusan National University
book석사 전산학부, 석사 전산학부 at Korea Advanced Institute of Science and Technology
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Github Skills (5)

go10
prometheus10
promql9
kubernetes8
kubernetes-pods8

Programming languages (3)

JavaGoRuby

Github contributions (5)

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cortexproject/cortex

Aug 2024 - Apr 2025

A horizontally scalable, highly available, multi-tenant, long term Prometheus.
Role in this project:
userBack-end Developer
Contributions:120 reviews, 93 PRs, 232 comments in 7 months
Contributions summary:Sungjin contributed to the Cortex project by adding metrics and statistics related to query execution. They implemented a new metric, `cortex_query_samples_total`, and integrated it into the query frontend handler and the ruler. These changes involved modifying Go code within the `pkg/frontend/transport/handler.go` and `pkg/ruler` directories to track and report query performance metrics. The user also added a metadata query function and applied metrics to the ruler query stats.
golangscalabletenantprometheus-exporterlong-term
SungJin1212/promql-engine

Dec 2024 - Apr 2025

Multi-threaded PromQL engine implementation based on the Volcano paper.
Contributions:76 pushes, 7 branches in 3 months
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