Youngjae Choung
Research Engineer at MakinaRocks
South Korea
Summary
👤
Senior🎓
Top SchoolYoungjae Choung is a research engineer with eight years’ experience applying statistical and machine learning methods to industrial time-series, anomaly detection, and remaining useful life problems for clients across Korea. Since 2019 he has driven applied research at MakinaRocks after a data scientist role at SoftFactory, combining a strong academic foundation (Master’s in Industrial Management Engineering from Korea University and a Statistics BS from Konkuk University) with hands-on production projects. His portfolio includes multiple anomaly-detection systems and time-series forecasting deployments for major firms (H, A, G, S), showing expertise in turning sensor data into actionable insights. Colleagues know him for bridging rigorous statistical modeling with pragmatic engineering to deliver maintainable solutions in manufacturing environments.
8 years of coding experience
2 years of employment as a software developer
Master Degree, School of Industrial Management Engineering, 3.6/4.5, Master Degree, School of Industrial Management Engineering, 3.6/4.5 at 고려대학교Bachelor's degree, Statistics, 3.9/4.5, Bachelor's degree, Statistics, 3.9/4.5 at 건국대학교
Github Skills (42)
gitbook10
convex-optimization10
markdown9
documentation8
python8
keras8
interoperability7
toolchain7
deep-learning6
mnist6
machine-learning6
representation-learning6
git6
pytorch6
scientific-computing5
Programming languages (5)
Github contributions (5)
YoungJaeChoung/Algorithm_ver2
Dec 2017 - Jun 2020
Contributions:6 PRs, 135 pushes, 18 branches in 2 years 6 months
YoungJaeChoung/Presentation
Jun 2018 - Dec 2019
Contributions:7 commits, 6 pushes, 1 branch in 1 year 6 months
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