Jeongchul Kim
ML Engineer at Viva Republica (Toss)
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolJeongchul Kim is an ML Engineer based in Seoul with 11 years of experience building MLOps, inference platforms, and cloud-native AI services across startups and large telcos. He has led production deployments of NVIDIA Triton, vLLM, and custom NPU-backed inference stacks for recommendation, video, and LLM workloads while implementing CI/CD with GitHub Actions and ArgoCD. His background bridges research (peer-reviewed publications in IEEE, ACM, Springer venues) and hands-on platform engineering, having built monitoring, benchmarking, and API gateway systems with Grafana, Prometheus, Airflow and Kubernetes. At SAPEON and Toss he focused on scalable ML serving for ads, commerce and LLMs, and he drove early PoCs integrating Rebellions NPU cards into vLLM pipelines. A high-GPA graduate from Kookmin University, he pairs strong academic rigor with practical delivery—often producing end-to-end solutions from device/NPU integration to web and mobile demos.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, 4.31/4.5, Master's degree, Computer Science, 4.31/4.5 at 국민대학교
Github Skills (10)
workbench10
serverless10
benchmark10
faas10
aws5
kubernetes3
linux1
python1
spark1
system-programming1
Programming languages (5)
Github contributions (5)
ddps-lab/serverless-faas-workbench
Jan 2019 - Dec 2019
FunctionBench : A Suite of Workloads for Serverless Cloud Function Service
Contributions:191 commits, 113 pushes, 2 comments in 10 months
serverlessworkbenchfaasfunction-benchserverless-faas
KimJeongChul/webrtc-media-server
Sep 2020 - Nov 2020
Contributions:73 commits, 47 pushes, 1 branch in 2 months
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