He is for an Assistant Professor of Electrical and Computer Engineering with a PhD focused on neuromorphic computing using memristors. His research involves implementing machine learning and deep learning algorithms on low-power hardware for applications like adaptive control and anomaly detection, resulting in several peer-reviewed publications. He has practical industry experience in autonomous vehicles, having interned as an Autonomous Vehicle Engineer where he developed perception and control algorithms using sensor fusion (LiDAR, radar, camera) on ROS. He is highly proficient in key programming and AI tools like Python, MATLAB, C++, and deep learning libraries. With over five years of teaching experience at the undergraduate and graduate levels, both in the US and Sri Lanka, he is skilled in curriculum development and student mentorship. He is authorized to work in the US and is open to relocation.