Sungwoong Yeom
Data Scientist
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolSungwoong Yeom is a Data Scientist and Ph.D. candidate in Artificial Intelligence with eight years of experience building LLM-powered system intelligence, CAD/3D reasoning, and production ML pipelines. Based in Seoul, he has delivered end-to-end AWS deployments for incident ticketing, real-time alert classification, entity knowledge graphs, and graph-embedding based anomaly detection with sustained 98–99% metrics. His work bridges research and operations—ranging from digital-twin battery life prediction for Hyundai’s hydrogen trucks to AI-driven OT/IT network anomaly detection and CIEM privilege simulation. He combines deep academic training with hands-on MLOps and big-data engineering, often integrating streaming systems like Kafka and complex graph representations. Notably, he has translated research prototypes into scalable services used in enterprise monitoring and security contexts. He brings a pragmatic focus on observability, explainability, and domain-specialized models that turn noisy logs and graphs into actionable root-cause insights.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at 전남대학교
Github Skills (3)
zoneminder2
docker1
storm1
Programming languages (2)
Github contributions (5)
DNSlabCCTV/Shinobi
Jun 2018 - Dec 2018
Contributions:43 commits, 38 pushes, 1 branch in 5 months
DNSlabCCTV/Prometheus
Nov 2018 - Dec 2018
Contributions:115 commits, 100 pushes, 1 branch in 1 month
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