Summary
Ahmed Ebrahim is an autonomous vehicles software engineer with ~8 years of hands-on experience and a decade-long background in software and algorithm development focused on motion planning, control, and ADAS. He has driven vehicle behavior and trajectory planning across industry and research settings—from radar and vision-based modules at Valeo and Avelabs to L3/L4 planning at Aptiv and ADAS L2 systems at Brightskies. As a freelance consultant and senior contributor to the Autoware ecosystem via LeoDrive, he owns features for mission distance/time, no-drivable-lane handling, and static-obstacle rerouting, and has automated simulator failure analysis in Python. Comfortable across C++, MATLAB/Simulink, ROS, embedded systems and software architecture, he bridges low-level DSP and ECU work with high-level planning and refactoring for scalable autonomy stacks. Based in Egypt, he combines field-facing customer support and on-site integration experience with open-source collaboration, making him adept at turning research prototypes into production-ready autonomy features.
8 years of coding experience
10 years of employment as a software developer
B.Eng. in Communications Electronics and Computers Computer Engineering, B.Eng. in Communications Electronics and Computers Computer Engineering at Faculty of Engineering, Helwan University
English, Arabic