Summary
Sami Akgün is a Senior Robotics Software Engineer with 10 years of experience combining research-grade algorithms and production robotics to deploy large-scale autonomous systems. Based in Toronto, he has led fleet-wide ROS1-to-ROS2 migrations, real-time performance fixes, and motion-planning innovations that kept thousands of robots running with zero downtime and directly improved pick throughput. His background spans hands-on sensor fusion, tactile-informed grasping, admittance/impedance control, and behavior cloning used for residual RL, reflecting a rare blend of control theory, perception, and systems engineering. Sami has repeatedly bridged academia and industry—from award-winning undergraduate hardware projects and novel Kalman-filter research to shipping drivers and real-time drivers in commercial fleets—so he excels at turning cutting-edge research into reliable fielded products. An interesting detail: he’s resolved low-level DDS and scheduling issues in ROS2 deployments, a behind-the-scenes skill that materially stabilised production robot fleets.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS Electrical and Electronics Engineering, Bachelor of Science - BS Electrical and Electronics Engineering at Orta Doğu Teknik Üniversitesi / Middle East Technical University
Master's of Applied Science (MaSC) Systems Design Engineering, Master's of Applied Science (MaSC) Systems Design Engineering at University of Waterloo