Summary
Akil Pathiranage is an Applied ML intern and third-year Mechatronics Engineering student at the University of Waterloo with nine years of hands-on engineering experience across ML, robotics, and automation. He has contributed to cutting-edge generative AI, model quantization, and LLM reasoning work through internships at Waabi and Cerebras, and has practical robotics experience building LiDAR ground segmentation with ROS2 for autonomous vehicles. His research spans computer vision and 4D reconstruction using Gaussian splatting, and he has applied control theory to quantum networking at Fermilab—demonstrating an unusual mix of ML, robotics, and quantum-adjacent systems experience for his stage. Based in Oakville, Ontario, Akil combines application-focused development with research rigor, frequently moving projects from novel algorithms to deployable components. He’s equally comfortable mentoring robotics teams and contributing engineering polish to complex ML systems, signaling a trajectory toward systems-level ML and robot autonomy.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Applied Science - BASc, Mechatronics Engineering, 92.39%, Bachelor of Applied Science - BASc, Mechatronics Engineering, 92.39% at University of Waterloo