Summary
Iacopo Olivo is a Machine Learning Engineer with nine years of experience specializing in robotics and autonomous systems, currently applying ML to surgical robotics in the San Francisco Bay Area. He has designed, prototyped, and shipped end-to-end components of autonomous robot stacks—spanning ML models, ROS-based robotics algorithms, and system-level performance monitoring. His background includes behavior prediction for self-driving vehicles, production experience with C++/Python nodes and Spark/AWS tooling, and a Master’s thesis on Interactive POMDPs where he implemented a novel solver and a Julia framework for multi-agent systems. Comfortable moving between research and production, he combines rigorous academic training from Politecnico di Torino and UIC with hands-on startup experience that improves real-world safety and forecasting performance.
9 years of coding experience
6 years of employment as a software developer
Perito capotecnico in informatica Scienze informatiche, Perito capotecnico in informatica Scienze informatiche at ITT G.Chilesotti
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Tongji University
Master of Science - MS Scienze informatiche, Master of Science - MS Scienze informatiche at University of Illinois Chicago
Laurea Magistrale LM Software Engineering, Laurea Magistrale LM Software Engineering at Politecnico di Torino
Italian, English, Chinese