Summary
Ahmed Harbi is an ADAS Algorithm Engineer with 9 years of experience building embedded software, computer vision, and neural-network-based solutions for automotive safety features such as ACC, AEB, LKA, LDW and more. At Valeo he led integration of QT-based simulations with IPG CarMaker, developed automated regression and fault-injection plugins for CI-driven SIL testing, and established coding and testing frameworks adopted across international teams. Proficient in C, C++ and Python, he combines low-level firmware and driver development on AVR and ARM Cortex-M4 with higher-level AI model development and deployment. He has strong practice in version control, build systems, and functional safety workflows, and enjoys algorithm design, data structures and competitive programming. Notably, he reduced manual testing effort through automation and improved lateral dynamics realism by integrating precise ground-truth signals into simulations. Based in Cairo, he brings a pragmatic blend of embedded systems craftsmanship and AI-driven perception engineering to complex automotive projects.
9 years of coding experience
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, CGPA: 2.24 | Good, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, CGPA: 2.24 | Good at Suez Canal University
Arabic, English