Summary
Ahmed Saber is a Senior Software Engineer with 11 years of experience specializing in computer vision and visual navigation for robotics and autonomous systems. Currently at Torc Robotics, he builds perception and sensor-fusion solutions that leverage monocular cameras and IMUs to improve vehicle and robot localization. His background spans startups and product teams—from bridge inspection and sports-tracking systems to drone and autonomy platforms—bringing deep C++, OpenCV, ROS, and Kalman-filter expertise. Ahmed holds a Master’s in Unmanned Autonomous Systems from Embry-Riddle and a BSc in Computer Engineering from Cairo University, combining academic rigor with hands-on field deployments. He’s particularly focused on making cameras more useful for real humans, from aiding the visually impaired to guiding self-driving cars, and often bridges algorithm research with production-grade implementation. Based in Livonia, Michigan, he has a track record of turning complex sensor and vision problems into robust, real-world systems.
11 years of coding experience
6 years of employment as a software developer
BSc., Computer Engineering, BSc., Computer Engineering at Cairo University
Master’s Degree, Unmanned Autonomous Systems and Engineering, 3.5, Master’s Degree, Unmanned Autonomous Systems and Engineering, 3.5 at Embry-Riddle Aeronautical University
Arabic, English