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.
8 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 (29)
model-optimization6
pytorch4
converter4
cookiecutter4
xml-to-json4
utility4
python4
xml4
tensorflow3
transformer3
command-line-tool3
json3
tensorrt3
machine-learning2
inference2
Programming languages (4)
Github contributions (5)
Team-Human-Ensemble/icim_5th_academy
Aug 2019 - Nov 2019
Contributions:14 commits, 10 pushes in 2 months
bnabis93/deep_framework_cheetsheet
Dec 2019 - Jan 2020
Contributions:15 commits, 14 pushes, 1 branch in 1 month
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