Summary
Feng Wang is a Staff AI Engineer with nine years of experience bridging deep learning, robotics, and real-time embedded systems, based in Hong Kong and originally from Taiwan. He holds a PhD and postdoctoral experience in physics and bioinformatics, and has 15 publications including in Nature and Science, bringing rigorous mathematical and simulation skills to practical AI problems. At Coretronic he architected and deployed real-time generative AI and SLAM for AR glasses, grasp-planning and hand-eye calibration for service robots, and vibration-based anomaly detection, often optimizing models for inference with TensorRT, TVM and Qualcomm SOCs. He also built tools that fuse SLAM outputs into 3D point clouds and an AutoML pipeline for NIR spectroscopy, demonstrating an ability to span research, algorithms, and full-stack product deployment. Colleagues rely on him for elegant problem-solving, cross-disciplinary collaboration, and translating theoretical insight from statistical physics into robust, real-world ML systems. An uncommon strength is his track record of taking physics-grade modeling and turning it into optimized, real-time embedded AI applications.
9 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at Wuhan University
Hong Kong University of Science and Technology (HKUST)