Wooil Jang
Machine Learning Engineer at 넥스트도어
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolWooil Jang is a Machine Learning Engineer based in Seoul with 11 years of hands-on experience building computer vision and ML systems across healthcare, surveillance, and consumer apps. He has driven end-to-end projects from lightweight 2D/3D pose estimation and human mesh recovery for iOS products to CCTV-based gait and abnormal behavior detection, including Triton-powered inference servers and camera calibration. Early experience as a full-stack and iOS developer gives him strong product-minded engineering skills, enabling seamless API, mobile, and web integration of ML models. Notably, he improved TB lesion detection accuracy from 70% to 85% on low-dose X-ray data by moving from classification to segmentation/detection approaches and tackling extreme class imbalance. He combines practical deployment experience with research-level model work and a systems engineering background, making him adept at turning limited, noisy datasets into reliable production solutions.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE, System Engineering, Bachelor of Engineering - BE, System Engineering at 한양대학교
Github Skills (102)
toolbox10
siggraph10
object-detection10
motion-capture10
segmentation10
visual-recognition10
udp9
openmmlab9
face-recognition9
mask-rcnn9
pose9
benchmark9
instance-segmentation9
vision-transformer9
faster-rcnn9
Programming languages (7)
Github contributions (5)
woo1/awesome-pose
May 2021 - Aug 2022
Contributions:62 pushes, 1 branch in 1 year 2 months
woo1/google-apps-script-example
Jul 2019 - Aug 2019
Contributions:19 commits, 18 pushes, 1 branch in 2 days
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