Dong Kang
Software Engineer at NAVER Corp
South Korea
Summary
👤
Senior🎓
Top SchoolDong Kang is a software engineer with 10 years of experience building reliable, maintainable systems across search, recommendation, and autonomous driving domains. Currently a data engineer on NAVER's search team, he previously ran recommendation serving and deployment pipelines at Kakao, introducing canary rollouts, HA configurations, and observability stacks in production. He has hands-on expertise in Python, Flink, FastAPI, SQLAlchemy, Prometheus/Grafana, and cloud-native deployments (AWS EKS), and even contributed a patch to CPython. Earlier work on embedded camera perception and ADAS at Hyundai MOBIS gives him a strong grounding in real-time, safety-conscious systems. Known for refactoring complex pipelines toward more object-oriented, testable designs, he balances pragmatic engineering with a focus on long-term maintainability. Based in South Korea, he pairs academic distinction (MS/BS from Kyung Hee University) with production-grade delivery at major tech firms.
10 years of coding experience
5 years of employment as a software developer
Kyung Hee University 경희대학교
Github Skills (21)
python10
programming-language9
matrix-factorization8
routines7
recommender7
mining6
cpp6
recommender-system6
health6
machine-learning5
django-blog4
scalable4
django-project3
data-structures3
react3
Programming languages (3)
Github contributions (5)
frostbyte134/c10k_test
Aug 2020 - Sep 2024
Contributions:16 pushes, 2 branches in 4 years 2 months
frostbyte134/nailbrainz.github.io
Apr 2018 - Oct 2022
nailbrainz
Contributions:529 pushes, 3 branches, 2 tags in 4 years 6 months
react
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