Summary
Kyunghwan Kim is a Machine Learning Engineer and ML Serving Engineer with 9 years' experience building production-ready ML systems across computer vision, reinforcement learning, and NLP. He blends research-driven algorithm work—such as RL for robotic guidewire control and signal-processing models for industrial motor diagnostics—with hands-on MLOps expertise in Triton, TensorRT, Kubernetes, Argo, and FastAPI. Kyunghwan has a proven track record of end-to-end delivery: implementing foundation-model features, optimizing inference pipelines for low-latency serving, and constructing workflow systems that manage data-to-deployment lifecycles. He also brings strong software engineering practices—CI/CD, automated testing, and container orchestration—making collaborations more efficient. Based in Seoul with a BE in Electrical/Electronics Engineering, he quietly pairs academic rigor (high GPA) with pragmatic product-focused engineering.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, GPA 4.19/4.5, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, GPA 4.19/4.5 at Hansung University
한국어 (korean), English