Wade Jeong
Machine Learning Engineer at TwelveLabs
Gimpo-si, South Korea
Summary
👤
Senior🎓
Top SchoolWade Jeong is a Machine Learning Engineer with eight years of experience specializing in video and multimodal AI, currently building ML-driven products at TwelveLabs. He has strong MLOps and tooling background from designing experiment tracking servers, k8s-based ML serving, and semi-automatic panoptic/video labeling tools at Annotation AI and iPIXEL. His research roots as a graduate research assistant at Inha University produced deep-learning systems for non-invasive biomarker quantification and CNS morphology analysis, bridging computer vision with biomedical signals. Wade combines production-focused engineering—optimizing on-device pose estimation for iOS and maintaining Unity detection SDKs—with hands-on backend and infrastructure work to move models into scalable services. Based in Gimpo-si, South Korea, he brings a practical mix of academic rigor and productization experience that accelerates prototype-to-production workflows. An unusual strength is his cross-disciplinary foundation in computer engineering and biology, which informs his work on multimodal and bio-aware ML systems.
9 years of coding experience
4 years of employment as a software developer
Master's degree Electrical Engineering, Master's degree Electrical Engineering at Inha University
Github Skills (23)
model-optimization7
pytorch4
python4
utility3
transformer3
xml3
converter3
inference2
tensorrt2
json2
react2
cli2
command-line-tool2
gpu2
vue2
Programming languages (4)
Github contributions (5)
bnabis93/tensorrt-toy
Apr 2022 - Aug 2022
tensorrt-toy code
Contributions:47 commits, 5 PRs, 43 pushes in 4 months
tensorrt
Team-Human-Ensemble/icim_5th_academy
Aug 2019 - Nov 2019
Contributions:14 commits, 10 pushes in 2 months
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