Summary
Anthony Bugatto is a robotics and AI engineer with 10 years of hands-on experience building perception and autonomy systems, currently a Member of Technical Staff at a stealth AI startup in San Francisco. He has deep expertise in computer vision, VIO, and low-bandwidth geolocalization from work as a founding robotics engineer on autonomous UAV systems and research projects spanning ETH Zürich and the University of Nevada, Reno. His background blends electrical engineering and computer science—paired with master's work in AI—and practical firmware-to-algorithm experience in C++, ROS, PCL, and signal processing for radar and neuromorphic applications. Anthony has a track record of translating research into robust real-world pipelines, including loop-closure resilient camera stacks for diverse environments. He’s equally comfortable prototyping on embedded platforms and driving research experiments, evidenced by NSF-funded subterranean mapping and a neuromorphic piano-playing robot hand project. Based in San Francisco, he brings an interdisciplinary approach that bridges robotics hardware, perception algorithms, and scalable AI engineering.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science Computer Science and Engineering, Bachelor of Science Computer Science and Engineering at University of Nevada, Reno
Master’s Thesis, Master’s Thesis at ETH Zürich
Master of Science Artificial Intelligence, Master of Science Artificial Intelligence at USI Università della Svizzera italiana
Italian, English