Byeongjo Kim
South Korea
Summary
👤
Senior🎓
Top SchoolByeongjo Kim is an MLOps engineer at NAVER with nine years of experience bridging machine learning research and production-grade deployment. He has a solid academic foundation with an MS in Computer Science from Hanyang University and a background spanning ML engineering, Android/backend development, penetration testing, and facial recognition research. At NAVER he focuses on operationalizing models and scaling ML workflows, drawing on prior roles at ZUM Internet and international research internships such as a gold-price forecasting project at Queen’s University Belfast. His diverse early career—from security testing to mobile dev—gives him a practical, security-minded approach to building reliable ML systems. Outside work he shares technical insights on his blog, reflecting a habit of documenting engineering lessons for wider teams.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Department of Computer Science, Master of Science - MS, Department of Computer Science at 한양대학교
Stackoverflow
19reputation
2kreached
2answers
1question
Github Skills (23)
pytorch10
kubernetes10
docker10
cpu10
machine-learning10
deep-learning10
gpu10
optimization10
ontology9
mlops9
artificial-intelligence7
tensorflow7
async-await6
amazon-web-services6
python6
Programming languages (5)
Github contributions (5)
byeongjokim/MLOps-Example
Dec 2020 - Apr 2021
Contributions:95 commits, 1 push, 1 comment in 4 months
byeongjokim/Automatic-Baseball-Commentary-Generation-Using-DeepLearning
Jul 2019 - Dec 2019
Automatic Baseball Commentary Generation Using Deep Learning (SAC 2020)
Contributions:31 commits, 109 pushes, 1 branch in 5 months
deep-learningsports-castingbaseballtensorflowcommentary
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