Alan Huang
Taiwan, China
Summary
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SeniorAlan Huang is a computer vision and inverse imaging engineer with eight years of hands-on experience building AI-driven perception systems, from privacy-preserving camera fingerprinting to real-world autonomous vehicle and drone applications. Currently a Rice University ECE graduate student and Software Engineer II at Forterra, he has a track record of boosting model performance (notably +10% mAP gains on YOLO and Mask R-CNN projects) and shipping ROS-based perception pipelines for unstructured environments. His research blends Implicit Neural Representations and Kolmogorov–Arnold Networks to tackle medical imaging and inverse problems, reflecting a rare mix of applied research and production-focused engineering. Comfortable in C++, PyTorch, and ROS2, Alan also optimizes workflows and prototypes rapidly—his earlier work produced a tenfold speedup in privacy-preserving camera attribution. He’s seeking full-time roles in computer vision, machine learning, or perception engineering and enjoys collaborating on challenging AI problems that bridge research and field deployment.
9 years of coding experience
Github Skills (32)
radiance10
neural-rendering9
3d-reconstruction8
volume-rendering8
python-app8
nuitka8
ai-agent7
flux7
python7
compiler6
audio6
deep-learning6
machine-learning6
pytorch6
delta5
Programming languages (4)
Github contributions (5)
csvt32745/ML_2021_Spring
Mar 2021 - Oct 2021
Contributions:76 commits, 1 push in 7 months
csvt32745/FTP-VM
Jun 2022 - Sep 2023
Contributions:26 pushes, 6 comments in 1 year 2 months
mattingvideo-mattingend-to-endvideotrimap
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