Kyeongmin Woo
AI Technologist at 보잉
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolKyeongmin Woo is an AI technologist with 8 years of experience applying machine learning and MLOps to industrial problems, currently working at Boeing in Seoul. He has driven end-to-end ML projects—from problem definition to deployment—building production-grade model serving, streaming pipelines, and GPU orchestration at MakinaRocks. His work includes accelerating API inference by ~100x, integrating KServe and NVIDIA Triton, and applying RL and GNN methods to semiconductor placement with competitive results. Comfortable across Python and Go, Kubernetes, Kafka, and PyTorch, he blends research rigor with pragmatic engineering to move models into scalable production. Unusually, his background pairs a double major in Public Administration and Computer Science, giving him a cross-disciplinary perspective on technology adoption and product-market fit.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Public Administration and Computer Science(Double Major), Bachelor's degree, Public Administration and Computer Science(Double Major) at Korea University
Github Skills (13)
convex-optimization10
data-mesh6
jekyll6
jekyll-theme6
data-platform5
sliding5
machine-learning4
grid2
data-engineering2
segmentation2
grid-world2
reinforcement-learning1
deep-reinforcement-learning1
Programming languages (5)
Github contributions (5)
enfow/enfow-blog-old
Dec 2019 - Jan 2025
A content-first, sliding sidebar theme for Jekyll.
Contributions:659 pushes in 5 years 1 month
sidebar-themesidebarjekylljekyll-themesliding
enfow/tutorials
Apr 2021 - Aug 2023
Contributions:22 PRs, 183 pushes, 14 branches in 2 years 4 months
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