Summary
Alessandro Saviolo is a Senior Autonomy Engineer based in California with nine years’ experience building perception and optimal control systems for high-speed navigation in complex, GPS-denied environments. He blends academic rigor from a PhD candidacy at NYU’s Agile Robotics and Perception Lab with hands-on product experience developing ROS2/Gazebo hardware-in-the-loop frameworks and deep-learning perception models. His work spans perception, motion planning, and real-time control, emphasizing rapid adaptation and robust generalization across diverse conditions. At PlusAI he applies this expertise to production autonomy, drawing on prior research enabling safe aerial robotics in cluttered, unpredictable environments. Colleagues describe him as someone who bridges cutting-edge research and deployable systems—often surfacing elegant optimization-based solutions where others rely on brute-force learning.
9 years of coding experience
5 years of employment as a software developer
Master in Computer Engineering, Department of Information Engineering, 4.0, Master in Computer Engineering, Department of Information Engineering, 4.0 at Università degli Studi di Padova
Doctor of Philosophy - PhD, Electrical and Computer Engineering, 4.0, Doctor of Philosophy - PhD, Electrical and Computer Engineering, 4.0 at New York University
Master Thesis Research, Master Thesis Research at University of Zurich - Robotics and Perception Group
Exchange student, Department of Electrical and Computer Engineering, Exchange student, Department of Electrical and Computer Engineering at 國立交通大學