MAGI://SYSTEM/OPERATOR_PROFILE
Computer Science
Thesis: Predicting the Location of Injured People in Disaster Zones using Deep Learning
Electrical Engineering & Computer Science (Double Major)
Noul Inc.
Leading core AI R&D for CER, a cervical cell analysis product. Designed and implemented the full preprocessing–detection–classification pipeline from whole slide images down to individual cells. Spearheaded on-device detection model training, pruning, and inference optimization.
HumanICT
Full-stack engineer on the Alphai PlantVision platform, developing real-time AI detection models for construction site hazards (fire, smoke, missing helmets) and vehicle classification from CCTV feeds.
DeepNoid
Led the DEEP:CHEST team as part lead, designing AI models for chest X-ray interpretation — detecting pneumothorax and consolidation with lesion localization. Successfully completed clinical trials and obtained regulatory approval (License #21-841).
Seoul Ideathon Grand Prize (Mayor's Award)
Seoul Metropolitan Government
Startup Camp Director's Award
Kookmin University
Design Competition Bronze Award
Kyung Hee University
Creative Design Competition Excellence Award
Kyung Hee University
Localization-adjusted diagnostic performance and assistance effect of a computer-aided detection system for pneumothorax and consolidation
Lee, S.Y., Ha, S., Jeon, M.G. et al.
DOI: 10.1038/s41746-022-00658-x