Summary
Cheng-han W is a senior software engineer from Taiwan with 7 years of experience specializing in vehicle systems, control software, and embedded AI for autonomous and electric vehicles. He transitioned from hands-on electric bus engineering and VCU tuning to developing self-driving shuttle control units and deploying deep learning vision models on NVIDIA AGX Xavier for factory QA. Passionate about autonomy, he completed Udacity’s Self-Driving Car Nanodegree while working full time and applies ROS, sensor fusion, and computer vision to real-world vehicle problems. Notable achievements include a visual defect detection system exceeding 93% accuracy and maintaining vehicle reliability above 95% through effective VCU calibration and troubleshooting. At Foxtron Vehicle Technologies he now focuses on pushing cutting-edge autonomy features into production vehicles, combining controls, simulation (Simulink/Stateflow), and edge AI deployment experience.
7 years of coding experience
8 years of employment as a software developer
Self-Driving Car Engineer Nanodegree, Self-Driving Car Engineer Nanodegree at Udacity
Bachelor's degree, Vehicle Engineering, Bachelor's degree, Vehicle Engineering at National Taipei University of Technology
Chinese, English