Jinwoong Kim
Machine Learning Engineer at Toss Securities (토스증권)
Seoul, South Korea
Summary
🤩
Rockstar🎓
Top SchoolJinwoong Kim is a Machine Learning Engineer with 11 years’ experience building high-performance ML systems, from multi-tenant GPU schedulers to production LLM services. He has designed and operated large-scale GPU clusters (H100 SXM5) with NVLink/NVSwitch/InfiniBand, optimized GPU utilization via NVIDIA MIG and MPS, and built Kubeflow-based ML platforms that integrate with complex service meshes and security controls. As a former CTO and co-founder, he led teams to deliver edge and cloud anomaly-detection products and end-to-end ML pipelines, blending product leadership with hands-on systems engineering. His work at NAVER and Toss includes serving GPT‑3 scale models in production and publishing detailed engineering write-ups and conference talks, reflecting both deep research roots (PhD) and pragmatic deployment experience. Based in Seoul, he’s notable for squeezing higher utilization from GPU infrastructure while maintaining secure, observable ML services.
10 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Computer Engineering, Bachelor’s Degree, Computer Engineering at Chungbuk National UniversityDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Ulsan National Institute of Science and Technology
English, Japanese, Korean
Github Skills (23)
rdbms10
database-management10
dbms10
database10
java7
spring-boot7
korean-nlp7
spring7
cuda6
nlp6
optimization6
natural-language-processing5
cuda-toolkit5
transformers4
pytorch4
Programming languages (4)
Github contributions (5)
JinwoongKim/Gloud
Aug 2015 - Jan 2019
Contributions:48 commits, 37 pushes, 1 branch in 3 years 6 months
Contributions:251 commits, 194 pushes, 17 branches in 1 year 4 months
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