Wei-Chih 

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Summary

👤
Senior
Wei-chih Chern is a Ph.D. student and computer vision engineer with eight years of experience applying ML and deep learning to real-world systems, currently researching action localization and weakly-supervised segmentation for construction safety at the University of Dayton. He brings practical embedded and production experience—from accelerating AR and ADAS pipelines and optimizing models for TI hardware to deploying vision stacks with Docker and Redis—bridging research and applied engineering. His background includes SAR-based glacier detection and face recognition, demonstrating skill with diverse sensor modalities and domain transfer. As a former team co-lead in industry, he has delivered performance gains through algorithmic and systems optimizations (FPS and mAP improvements) and model quantization for edge devices. Advisored jointly by labs in the U.S. and South Korea, he combines collaborative academic rigor with hands-on product deployment.
code8 years of coding experience
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Github Skills (118)

python10
annotations10
deep-learning10
keras-models10
labeling10
imagenet10
raspbian10
neural-network10
object-detection10
computer-vision10
quality-assurance10
semantic-segmentation10
image-annotation10
densenet10
tensorflow10

Programming languages (7)

C#C++ShellJavaScriptSwiftJupyter NotebookPython

Github contributions (5)

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Simple Copy and Paste Implementation for Semantic Segmentation (Data Augmentation)
Contributions:8 commits, 2 PRs, 6 pushes in 7 months
data-augmentationsemantic-segmentation
Contributions:39 pushes, 1 branch, 2 comments in 4 months
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