Mohamed Eldin is a Staff Software Engineer with nine years of experience designing and delivering real-time, safety-critical software for autonomous vehicles and advanced driver assistance systems. He combines deep expertise in Modern C++, Python, ROS/ROS2, AUTOSAR, and real-time middlewares like Apex.OS to build cross-platform autonomy components, sensor integration pipelines for LiDAR and radar, and robustness features such as localization consistency checkers. His background spans R&D at tier-1 automotive suppliers and startups, contribution across the full ASPICE lifecycle, and hands-on deployment of ML models on edge devices from earlier research—demonstrating an uncommon blend of embedded systems rigor and applied machine learning. Based in the UAE, Mohamed focuses on scalable, auditable systems and has repeatedly bridged vehicle, cloud, and telematics domains (e.g., MQTT bridges) to enable remote monitoring and fleet-ready autonomy.
9 years of coding experience
6 years of employment as a software developer
Master of Science (M.Sc.) Electrical Electronics and Communications Engineering, Master of Science (M.Sc.) Electrical Electronics and Communications Engineering at Faculty of Engineering, Minia University
Self-Driving Car Engineer Nanodegree, Self-Driving Car Engineer Nanodegree at Udacity
Api Responder Is A Simple Package For Api Response Using Laravel Resources With Some Features With Some Useful Readable And Chainable Methods
Contributions:9 releases, 14 commits, 6 PRs in 1 year 8 months
apichainable-methodsreadablephplaravel-resources
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Mohamed Eldin - Staff Software Engineer at AGEO Autonomy