Summary
Tori Fujinami is a robotics engineer with 9 years of hands-on experience spanning research, hardware-software integration, and industrial robot systems. She holds an MS in Electrical Engineering from Stanford and a BS from UIUC, and currently applies her ROS, C++, and Python skills at Fetch Robotics in Bozeman, MT. Her track record includes building robust robot behaviors, navigation and perception pipelines, and hardware-software co-design—from Mayfield Robotics' obstacle detector and ROS-based sensor fusion to Cobalt and Fetch experiments in office-robot traversal and autonomous navigation. She has strong experience in sensor fusion, SLAM, EKF, and reinforcement learning explorations in academic projects, plus practical manufacturing and test automation. Her work reflects a rare blend of deep theoretical learning and practical prototyping, capable of taking robotics concepts from idea to real-world deployment. Based in Montana, she combines academic rigor with industry delivery, continuously applying cross-disciplinary techniques to advance autonomous systems.
10 years of coding experience
3 years of employment as a software developer
University of Illinois Urbana-Champaign
Master’s Degree, Electrical Engineering, Alumnus, Master’s Degree, Electrical Engineering, Alumnus at Stanford University