Summary
Endy Cheung is an Artificial Intelligence Consultant and founder with 11 years of engineering experience building systems that let businesses scale revenue without proportionally increasing headcount. Trained in mechatronics, computer science, and automotive engineering, he transitioned from leading HIL integration and ECU testing at Ford and TuSimple to designing AI-driven automation for B2B operations and local loyalty programs. He combines hands-on systems engineering—hardware-in-the-loop, data center procurement, and test automation—with product-minded AI implementations that replace repetitive operations teams with robust workflows. Based in San Diego, he brings a tinkerer’s curiosity (gameplay and systems engineering roots) to pragmatic, revenue-focused AI solutions. Unusually, his background spans both low-level automotive control validation and high-level business automation, enabling him to bridge complex technical integration with measurable commercial outcomes.
11 years of coding experience
13 years of employment as a software developer
Executive MBA, Executive MBA at Quantic School of Business and Technology
Sensor Fusion Nanodegree, Sensor Fusion Nanodegree at Udacity
The University of Melbourne
Masters, Master of Automotive Engineering, Masters, Master of Automotive Engineering at RMIT University
English, Chinese, German