Taemyung Heo
Research Fellow at LG유플러스 (LG Uplus)
Yongin-si, South Korea
Summary
👤
Senior🎓
Top SchoolTaemyung Heo is an applied machine learning engineer and research fellow with 11 years of experience building large-scale data and ML systems across consumer electronics, cloud services, and semiconductor software. He has led data teams and production ML efforts—most recently as Head of Data at Geniefy and now as a Research Fellow at LG Uplus—after driving game analytics, recommendation engines, and KNOX security/cloud solutions at Samsung. Comfortable from low-level systems to cloud-native stacks, his toolkit spans Python, Scala, Java, Spark, AWS, and a variety of NoSQL and search technologies, reflecting deep full-stack data engineering expertise. A Kaggle Competitions Master and hands-on practitioner, he blends competitive modeling experience with practical deployment know-how honed at AMD and major Korean tech firms. Notably, his career moves show a pattern of translating research-grade models into robust production services for high-throughput, real-world environments.
11 years of coding experience
21 years of employment as a software developer
BS Computer Science, BS Computer Science at Seoul National University
Korean, English
Github Skills (12)
neural-network10
machine-learning10
deep-learning10
tensorflow10
reinforcement-learning10
backend5
mongodb4
nodejs3
react2
javascript2
frontend2
vue1
Github contributions (5)
iingyeo/iingyeo
Jun 2015 - Oct 2015
Contributions:67 commits, 52 PRs, 43 pushes in 4 months
backendnodejsmongodb
tmheo/keras_exercise
Feb 2017 - Aug 2017
Contributions:33 commits, 30 pushes, 1 branch in 6 months
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