Diego Golvano is a Senior Engineer based in California with 8 years of hands-on experience bridging robotics, perception, and AI. He recently completed an MSc in Artificial Intelligence and focuses on applying ML/DL, reinforcement learning, computer vision, and robotics to real-world autonomy problems. At ArcBest he led perception for autonomous forklifts—integrating LiDAR, stereo, ToF and monocular cameras—and built low-latency streaming for remote operations, while now contributing at BrightAI. His background spans simulation, satellite systems troubleshooting, and teaching ML/DL lab courses, giving him a rare mix of production engineering, prototyping, and pedagogy. Diego combines practical C++/Python system-level skills with modern ML frameworks and a track record of moving perception work from research-style models into safe, deployable autonomy stacks.
8 years of coding experience
5 years of employment as a software developer
SEEDBED: PROGRAM IN BUSINESS SKILLS Business Administration and Management General, SEEDBED: PROGRAM IN BUSINESS SKILLS Business Administration and Management General at EOI Business School
Charles III University of Madrid (Universidad Carlos III de Madrid)
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at University of Groningen
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