Since 2026, he has held the role of “Research Technician” in the Cloud and Data Area at Fondazione Ugo Bordoni.
In 2025, he graduated with honors with a Master’s degree in Computer Engineering from Roma Tre University, defending a thesis titled “Multi-Data-Center Large Language Model Training: Scalability Analysis of Hierarchical Designs”. The results of this research work, focusing on the optimization of geo-distributed training for artificial intelligence models, were the subject of a scientific publication presented at an international level (IEEE INFOCOM Workshops: NetCompute).
During his academic studies, he developed solid skills in networking and cybersecurity, also thanks to curricular internship experiences focused on network analysis and the centralized configuration of firewall platforms. His technical skills range between software development and network communications applied to Machine Learning and Large Language Models (LLMs), with a specific focus on distributed training, congestion control algorithms, and the optimization of training frameworks.