Potter Hsu is a Senior AI Engineer with nine years of hands-on experience in computer vision, deep learning, and edge AI, currently driving AI initiatives at Delta Electronics. He has led government-funded research, built an endoscopic diagnostic system adopted by a major hospital, and created defect-detection platforms used by listed manufacturers. Potter is strong in productionizing models for constrained devices—quantizing to INT8/FP16, customizing CUDA operators, and deploying WebRTC/GStreamer streaming solutions with millisecond-scale latency and minimal CPU usage. His contributions to PyTorch object detection were accepted upstream, his GitHub projects have attracted hundreds of stars and forks, and he earned a Kaggle gold (top 0.5%) in a global detection challenge. Comfortable across C/C++, Python, embedded Linux, and cloud (AWS), he blends academic rigor with product-focused engineering and a track record of turning research prototypes into deployed systems.
9 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Science and Information Engineering, Master's degree, Computer Science and Information Engineering at 中原大學
A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
Contributions:7 commits, 15 pushes, 1 branch in 1 year 11 months
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Potter Hsu - Senior AI Engineer at Delta Electronics