Summary
Ahmed Ahmed is a computer vision engineer in the San Francisco Bay Area with eight years of experience building perception, mapping, and sensor-fusion systems for AR/VR and autonomous vehicles. He has blended research and product work across Google Daydream, Tesla Autopilot, and Meta, focusing on visual-inertial navigation, SLAM, 3D mapping, and object tracking. As founder of MOLAB he translated research into a wearable-based full-body motion capture product that uses smartwatches to estimate posture and 3D motion. He holds graduate-level training in computer science from the University of Minnesota and a background in computer engineering from Cairo University, and pursued a PhD focused on pose estimation and VIO before moving into industry. Ahmed combines academic rigor with hands-on engineering, shipping systems that bridge real-time embedded sensing and large-scale perception stacks. An uncommon strength is his ability to take end-to-end projects from sensor calibration and algorithm design to deployed, real-world products.
8 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD (dropout 2019) Computer Science, Doctor of Philosophy - PhD (dropout 2019) Computer Science at University of Minnesota
Master of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at Cairo University