Automotive Embedded Software Engineer

The candidate offers strong experience in automotive embedded software with a focus on ECU diagnostics, flashing, and communication protocols such as CAN, UDS, and DoIP. They have implemented complex flashing sequences, multi-ECU workflows, and diagnostic analysis in production environments. Additional experience includes ADAS simulation, sensor fusion validation, and OpenCV-based lane detection. Their background in Embedded C/C++, Linux debugging, and automotive tools provides a solid technical foundation. Quote: "Developed real-time lane detection pipeline using OpenCV" and "Analyzed CAN trace logs for ECU fault identification".

Developed a real-time lane detection pipeline using OpenCV with polynomial fitting and Kalman Filter tracking. Designed and validated ADAS features in a simulation environment and automated Python-based test scenarios. Configured and validated diagnostic communication over CAN and analyzed trace logs for ECU fault identification. Developed a multi-ECU flashing application in C++ including UDS sequences, security access, data transfer, and ECU reset. Implemented seed-key security unlocking for protected ECUs. Performed machinery fault diagnosis and root cause analysis in an industrial operations environment.