Summary
Tori Fujinami is a robotics engineer with a decade of hands-on experience building robot behaviors, sensor integrations, and navigation systems across startups and research labs. A Stanford EE MS and UIUC EE alum, she has applied reinforcement learning, state estimation, and optimal control in simulated and real-world systems, and shipped ROS-based behaviors like office door traversal and obstacle detectors. Her background spans firmware, hardware-integration, and rostest-driven validation, reflecting a rare blend of embedded systems savvy and higher-level autonomy algorithms. Based in Bozeman, Montana, she excels at translating academic robotics research into robust commercial products and has repeatedly bridged gaps between sensors, control, and perception to enable reliable field performance.
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