Hyunwoo Kim
Machine Learning Engineer at NAVER Corp
Seongnam-si, South Korea
Summary
👤
Senior🎓
Top SchoolHyunwoo Kim is a Machine Learning Engineer with 8 years of experience building data-intensive systems and production recommender pipelines at NAVER and Samsung. He specializes in Hadoop ecosystem, stream processing, Spark, and end-to-end data transformation, having cut batch processing from over a day to under two hours and improved ranking accuracy using static location data. At NAVER he moved from data engineering to ML-focused recommender work, shipping monitoring/switching tools and an AI code-review used across 40+ teams to boost reliability and code quality. His robotics and CV background at Samsung powered device auto-inspection and automated test frameworks that reduced manual testing by ~90%, showing a knack for applied ML in physical systems. Based in Seongnam-si, South Korea, he blends pragmatic engineering with operational rigor—often building the CI/CD and job-management scaffolding that makes ML models reliably deployable. A detail that sets him apart is his track record of turning monitoring and automation into product-wide tools that scale across teams.
8 years of coding experience
5 years of employment as a software developer
학사, 학사 at 부산대학교
Korean, English
Github Skills (6)
reservation-system9
java7
design-patterns1
spring1
architecture1
spring-boot1
Programming languages (5)
Github contributions (5)
matteblack9/alf.io
Apr 2018 - Jun 2018
This project forks the "alf.io" project. So we will increase Code Coverage and SOC of this Codes
Contributions:67 commits, 4 PRs in 2 months
alfreservation-systemreservation
darren9352/alf.io
Apr 2018 - Jun 2018
alf.io - The open source ticket reservation system
Contributions:59 pushes in 2 months
alfreservation-systemreservation
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