Summary
Seung Kim is an AI Site Reliability Engineer with 8 years of experience building and operating cloud-native and on-prem AI infrastructure across AWS, Naver Cloud, and private Kubernetes networks. He specializes in MLOps, DevOps, and SRE for production ML systems—deploying LLMs, RAG solutions, and optimizing on-device ML like Solar Pro on Intel Gaudi3—while owning CI/CD, monitoring, and secrets workflows. He has hands-on experience integrating tooling such as Argo, Flyte, Prometheus/Grafana, Harbor, and Infisical, and has automated complex workflows for quant trading and ETL. Beyond engineering, Seung has taught DevOps and full-stack bootcamps, authored practical CI/CD and GitHub-focused courses, and served as a technical assistant collaborating directly with clients on private-network deployments. Based in Incheon, South Korea, he combines product-minded delivery with deep operational know-how and a knack for making ML systems reproducible and maintainable in constrained enterprise environments.
7 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Software Venture, Bachelor's degree, Software Venture at 고려대학교
Bachelor's degree, English Language and Literature, Bachelor's degree, English Language and Literature at Korea University