I build AI systems that go from research to production. Currently an AI Research Engineer at Gractor, designing and deploying computer vision pipelines for smart city infrastructure. Previously published 2 first-author papers at Korea University's Pattern Recognition & ML Lab (MSc in AI, advised by Prof. Seong-Whan Lee), and before that shipped 10+ full-stack products as a software engineer.
I care about closing the gap between what works in a paper and what works at scale—whether that means training segmentation models with 100 labeled images, deploying real-time inference on edge devices, or building full-stack applications from scratch.
Confidence-weighted pseudo-labels, dynamic thresholding, and a boundary-aware module for semi-supervised segmentation. 65.9% mIoU on Cityscapes with only 100 labeled images.
Fuzzy pseudo-labeling, entropy-based weighting, adaptive class rebalancing, and prototype-based contrastive regularization. New baselines on Pascal VOC and Cityscapes across multiple label partitions.
Full-stack platform with AI-powered disease identification, severity scoring, 6 structured learning modules (13 lessons), community data contributions, and downloadable agricultural datasets.
Production edge AI system for real-time traffic monitoring with Three.js 3D visualization, predictive analytics, and smart city integration.
Studied stealthy backdoor triggers in CLIP-style models via dual-embedding alignment in the joint visual-textual representation space.
Targeted perturbations for multi-label classifiers that exploit semantic label co-occurrence dependencies.
Systematic evaluation of weak-to-strong consistency and self-training that served as the foundation for CW-BASS and FARCLUSS.
Depth estimation and point cloud generation for autonomous driving with an improved depth-to-pointcloud pipeline.
Investigated the gap between declared and effective context length in LLMs, analyzing positional-encoding biases and the STRING shifting method.
20+ subjects, 70+ lessons, progress tracking with study streaks, learning analytics dashboard, and personalized settings. Full authentication, Zod validation, and responsive UI.
AI Research Engineer
Gractor · Seoul, Korea
Sept 2025 – present
ML Research Engineer
Pattern Recognition & ML Lab, Korea University
Aug 2023 – Aug 2025
Software & AI Engineer
GliTech
Jan 2019 – Jan 2021
Korea University
Master of Science, Artificial Intelligence
2023 – 2025
Advisor: Prof. Seong-Whan Lee · Global Korea Scholarship
Template based on Jon Barron's website.