Summary
Fernando Bermudez is a Staff Software Engineer in Berkeley with 15 years of experience bridging academic robotics research and production embedded systems. He earned a PhD from UC Berkeley where he developed biologically inspired perception and reinforcement learning solutions for robust indoor navigation and efficient legged locomotion, and designed a 1-gram sensing/control board that became the lab standard. After building real-time control systems for a NASA Maglev project as an aerospace undergrad, he spent five years writing real-time firmware for industrial controllers at Yaskawa and now drives software at Google. His expertise spans embedded firmware, sensor fusion, active perception, and adaptive control, with a track record of turning research prototypes into reproducible code and shared hardware. Colleagues know him for combining low-complexity, hardware-aware algorithms with a pragmatic focus on maintainable lab and industry codebases.
15 years of coding experience
15 years of employment as a software developer
Bachelor of Science (BS), Aerospace Engineering, 4.0, Bachelor of Science (BS), Aerospace Engineering, 4.0 at Florida Institute of Technology
Master of Science (MS), Electrical Engineering and Computer Sciences, Master of Science (MS), Electrical Engineering and Computer Sciences at UC Berkeley
English, Spanish, French