Summary
Giacomo Orsi is a machine learning engineer with 11 years of experience building AI and big-data solutions across industry and academia, currently helping bring Apple Intelligence to global languages. His background spans research roles at MIT Senseable City Lab and AMS Institute applying ML to urban mobility, plus production engineering on search and monitoring systems at Apple and AWS. He has hands-on NLP experience from a stint at the European Central Bank where he developed automated product classification for inflation measurement, and academic credentials from EPFL and the University of Bologna. Comfortable bridging research and production, he pairs large-scale graph and data analysis expertise with practical engineering—one example being his open-source update to a HoloLens visualization toolkit during his Mixed Reality work. Fluent in shifting between prototype research and deployed systems, he operates at the intersection of applied ML, big data infrastructure, and human-centered urban applications.
11 years of coding experience
1 year of employment as a software developer
Bachelor's degree Computer Science for Management, Bachelor's degree Computer Science for Management at Alma Mater Studiorum – Università di Bologna
Master's degree Computer Science specialization in Data Analysis, Master's degree Computer Science specialization in Data Analysis at EPFL
English, French, Italian, German