Kyunghwan Kim
Machine Learning Engineer ML Serving Engineer at Smilegate
Seoul, South Korea
Summary
🤩
Rockstar🎓
Top SchoolKyunghwan 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
Github Skills (57)
pytorch10
nbviewer10
diffusion-models10
stable-diffusion10
diffusers10
reinforcement-learning10
text2image10
rainbow10
audio10
dqn10
deep-learning10
image-generation10
flux10
gradient9
jax9
Programming languages (8)
Github contributions (5)
MrSyee/dl_apps
Mar 2023 - Jan 2025
Contributions:8 PRs, 179 pushes, 4 branches in 1 year 10 months
MrSyee/pg-is-all-you-need
Jul 2019 - Apr 2020
Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.
Contributions:7 commits, 37 PRs, 78 pushes in 9 months
policymachine-learningneedgradientpolicy-gradient
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