Jun HU
Machine Learning Engineer at ax Inc.
Tokyo, Japan
Summary
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RockstarJun HU is a Machine Learning Engineer based in Tokyo with seven years of experience building and optimizing computer vision models. He contributes to notable open-source work such as ailia-models, where he refactors pose estimation models and integrates onnxruntime for performance gains, signaling a focus on production-ready inference. Comfortable navigating model implementation and performance engineering, he blends research-aware modeling with practical deployment considerations. Colleagues would describe him as detail-oriented and performance-driven, with a knack for squeezing latency and reliability improvements out of ML stacks.
7 years of coding experience
Github Skills (5)
computer-vision10
deep-learning10
onnx10
python10
pose-estimation10
Programming languages (2)
Github contributions (5)
ailia-ai/ailia-models
Jan 2021 - Aug 2022
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Role in this project:
ML Engineer
ML EngineerContributions:80 commits, 17 PRs, 42 pushes in 1 year 7 months
Contributions summary:Jun's commits primarily involve modifications to `pose_estimation` models within the repository. The code changes indicate involvement in developing and refactoring pose estimation models. Further, the user implements the onnxruntime option for improved performance.
aideep-learningface-recognitionface-detectionobject-detection
JohnnyHopp/PaDiM-EfficientNetV2
Oct 2022 - Oct 2022
EfficientNetV2 based PaDiM
Contributions:19 commits, 25 pushes, 1 branch in 14 days
anomaly-detectionanomaly-detection-modelsanomaly-localizationefficientnetv2mvtec
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