Alan 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.
8 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at National Experimental High School at Hsinchu Science Park
Master's degree Electrical and Computer Engineering focusing on Computer Vision, Master's degree Electrical and Computer Engineering focusing on Computer Vision at Rice University
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at National Chi Nan University
Contributions:26 pushes, 6 comments in 1 year 2 months
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Alan Huang - Software Engineer II - Perception Data