Tommaso Fontana
About Tommaso Fontana
Tommaso Fontana is a software engineer with a strong background in computer science and engineering, holding multiple degrees from prestigious institutions. He currently develops high-performance software at Inria and has experience in machine learning and consulting roles.
Work at Inria
Tommaso Fontana currently works at Inria as a Software Engineer since 2023. His primary focus involves developing a high-performance Rust implementation of Webgraph, which is designed to manage a massive graph consisting of 27 billion nodes and 416 billion edges. This role emphasizes his expertise in software engineering and graph processing.
Education and Expertise
Tommaso Fontana holds a Master's degree in Computer Science and Engineering from Politecnico di Milano, which he completed from 2019 to 2021. He also earned a Bachelor's degree in Computer Engineering from the same institution, studying from 2015 to 2019. Additionally, he obtained a Master of Science in Computer Engineering from Università degli Studi di Milano, completing the program from 2021 to 2022. His educational background provides a solid foundation in software development and engineering principles.
Previous Work Experience
Before joining Inria, Tommaso Fontana worked as a Machine Learning Researcher at Ospedale San Raffaele for nine months in 2021-2022. He also served as a Graph Machine Learning Software Engineer at Berkeley Lab for three months in 2021. His experience includes roles that emphasize machine learning and software engineering in various research and development environments.
Consultant Role at Würth Phoenix
In addition to his role at Inria, Tommaso Fontana has been working at Würth Phoenix as a Consultant and Software Engineer since 2019. This position is based in Bolzano, Trentino-Alto Adige, Italy, and highlights his ongoing commitment to software engineering and consultancy in the tech industry.
Specialization in Capture The Flag Competitions
Tommaso Fontana specializes in reverse engineering and exploitation as part of the Capture The Flag (CTF) team mHackeroni. This team has achieved recognition by being a finalist at DefCon four times. He also maintains a packet analyzer for the team, demonstrating his technical skills and involvement in competitive cybersecurity.