Summary
Hamza Mahdi is a robotics and AI co-founder with 10 years of experience building real-world autonomy, perception, and machine learning systems. Trained at the University of Waterloo (MASc in Computer Engineering) and currently pursuing an MD, he blends rigorous research in pattern analysis and computer vision with hands-on robotics engineering. He has led high-performing teams and projects—from a top-ranked University Rover Challenge entry to autonomy for outdoor security robots—and shipped clinical deep learning models for post-stroke voice and sound analysis at Sunnybrook. Skilled in ROS, CAD, sensor fusion and real-time ML, he designs system architectures that bridge hardware constraints and advanced perception. As founder of IntelliBots Academy he translates complex robotics concepts into education and products, and his background as a medical student gives him a unique perspective on clinical applications of AI.
10 years of coding experience
6 years of employment as a software developer
Doctor of Medicine - MD Medicine, Doctor of Medicine - MD Medicine at Western University
Toronto Metropolitan University
Master of Applied Science - MASc. Computer Engineering, Master of Applied Science - MASc. Computer Engineering at University of Waterloo
English, Arabic