About
I am a passionate Perception Engineer with a strong background in camera calibration, sensor fusion, and deep learning for autonomous systems. With hands-on experience in state estimation, SLAM, and computer vision, I specialize in designing robust perception solutions for real-world challenges. My expertise spans from classical vision techniques to deep learning-based detection, segmentation, and tracking, with a focus on improving autonomous vehicle safety and efficiency. I have worked on developing perception systems for Advanced Driver Assistance Systems (ADAS), enhancing vehicle awareness and decision-making. Additionally, I co-founded a home automation company, leveraging my skills in C++ and camera perception. I am always eager to push the boundaries of AI-driven perception and build cutting-edge solutions for intelligent mobility.
