Byungjae Lee
NPU Library Software Engineer (ML Engineer SW Engineer) at Rebellions
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolByungjae Lee is an NPU library software engineer with 8 years of experience building and accelerating deep learning workloads across medical, automotive, and edge domains. He designs and implements NPU compute libraries, simulator-integrated workflows, and CI/TDD-driven DevOps to ensure reliable, high-performance deployment on proprietary ISA hardware. Previously he developed pathology and radiology AI at Lunit and lightweight, edge-deployable detection and anomaly systems at Hyundai Motor, earning top placements in multiple international vision challenges. Based in Seoul, he combines low-level hardware/software insight with applied computer vision expertise—able to move models from gigapixel research prototypes to validated production runtimes.
8 years of coding experience
4 years of employment as a software developer
Master’s Degree, Computer and Information Sciences, Master’s Degree, Computer and Information Sciences at Inha University
Korean, English
Github Skills (9)
normal9
deep-learning9
unsupervised-learning8
tensorflow8
anomaly-detection7
pyramid6
modeling6
machine-learning5
pytorch5
Programming languages (1)
Github contributions (5)
byungjae89/MahalanobisAD-pytorch
Jul 2020 - Feb 2021
PyTorch implementation of "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection"
Contributions:11 commits, 10 pushes, 1 branch in 6 months
pytorchanomalydeep-featuresunsupervised-learningdeep-learning
byungjae89/SPADE-pytorch
Jul 2020 - Jul 2020
PyTorch implementation of "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"
Contributions:10 commits, 9 pushes, 1 branch in 12 days
pytorchanomalypyramiddeep-learninganomaly-detection
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.