Postgraduate in Embedded Systems with strong academic grounding and industry experience in telematics validation, infotainment QA, and real-time embedded testing for next-generation automotive systems. Skilled in Embedded C, MATLAB/Simulink, and ML model deployment on edge devices like Raspberry Pi. Demonstrated ability to build intelligent embedded solutions (e.g., YOLOv8-based ADAS prototypes) integrating AI/ML for real-world safety and automation. Seeking a challenging RD role to contribute towards innovative, scalable, and system-level solutions in automotive, IoT, or intelligent systems domains.