He is a Ph.D. student in Electrical Engineering with a strong background in autonomous systems, machine learning, and power electronics. Their current research involves developing an intelligent vehicle system that integrates 2D LiDAR for indoor navigation and vision-based lane detection for outdoor environments using YOLOv8 and deep learning models deployed on embedded platforms like NVIDIA Jetson. They have prior experience as an assistant professor in Bangladesh, where they taught courses in power systems, electronics, and control systems, and conducted research on DC-DC converters for solar applications. They have published several journal and conference papers on photovoltaic systems, power converters, and smart grids. With skills in MATLAB, Python, C++, and embedded systems, they are proficient in both theoretical and applied aspects of electrical engineering and autonomous driving technologies.