Umer Rasool

Background

About Umer Rasool

Who I Am: I am a Master’s student in International Automotive Engineering at TH Ingolstadt, specializing in Machine Learning & AI for automotive applications. With a background in Mechanical Engineering, I have transitioned into Deep Learning, Computer Vision, and Sensor Fusion, focusing on intelligent perception systems for autonomous vehicles and ADAS. What I Do: I develop AI-driven perception systems, integrating sensor fusion, object detection, and deep learning techniques for autonomous driving. My recent work includes Object-Level Sensor Fusion, combining RGB cameras and automotive radar data for real-time road user detection & motion prediction. I have hands-on experience with YOLOv8, Faster R-CNN, LLM-based AI systems, and TensorRT optimizations for efficient AI model deployment. What I’m Looking For: I am actively seeking a Machine Learning / AI internship or work-student role in the automotive industry, where I can apply my expertise in AI-powered perception, autonomous systems, and ADAS applications. I am eager to collaborate with industry experts and contribute to cutting-edge AI solutions in mobility. Let’s Connect! If you’re working on AI applications in autonomous vehicles, deep learning, or automotive AI, let’s connect and explore how we can collaborate!