Summary
Filipo Perotto is an experienced research engineer specializing in machine learning and optimization, with nine years of professional experience bridging academic research and applied engineering at institutions like ONERA and IRIT. He holds a PhD in Artificial Intelligence and has a strong teaching and research background across French and Brazilian universities, focusing on discrete and continuous optimization, multi-agent systems, and AI methods. Proficient in C++, Java and legacy languages such as Delphi and VB, he combines systems conception (UML) with hands-on implementation for real-world engineering problems. At ONERA he applies ML to aerospace-scale optimization challenges, drawing on prior postdoctoral work and a history of lecturing in programming, databases and decision support. Notably, his career blends deep theoretical grounding with practical R&D in thermal engineering and multi-disciplinary teaching, making him adept at translating complex algorithms into deployable systems.
8 years of coding experience
3 years of employment as a software developer
Informatics Technologist, Informatics Technologist at Escola Técnica
PhD, Artificial Intelligence, PhD, Artificial Intelligence at Toulouse INP
PhD, Artificial Intelligence, PhD, Artificial Intelligence at Federal University of Rio Grande do Sul
Portuguese, French, English, Spanish