Summary
Mohamed Ali is a Senior Software and Machine Learning Engineer with 11 years of experience specializing in computer vision, sensor fusion, and perception for autonomous and ADAS systems. He currently contributes to Qualcomm’s Snapdragon Ride Vision System after driving object tracking and certification-supporting algorithms for truck autonomy at Volvo Trucks and BEAM. His background includes principal algorithm roles at Valeo where he led collision avoidance, trailer assist, and parking control subsystems while mentoring teams and shaping software engineering practices. Mohamed combines electromechanical and electrical engineering training with focused nanodegrees in sensor fusion and robotics, giving him a practical cross-disciplinary edge in embedded autonomy. He’s passionate about building production-ready perception stacks for autonomous platforms and has a track record of moving algorithms from research prototypes into certified vehicle systems. Based in Stockholm, he brings a hands-on systems mindset that spans low-level embedded integration to high-level algorithm design.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BSc), Electromechanical Engineering, Bachelor of Science (BSc), Electromechanical Engineering at Alexandria University
Nanodegree Program, Sensor Fusion, Nanodegree Program, Sensor Fusion at Udacity
Master of Science (M.S.), Electrical and Electronics Engineering, 3.6, Master of Science (M.S.), Electrical and Electronics Engineering, 3.6 at Arab Academy for Science, Technology and Maritime Transport