Giorgio Bono

I am a Master’s student in Data Science and Engineering at Politecnico di Torino (Italy), specializing in artificial intelligence. As part of an Erasmus+ mobility program, I studied at CentraleSupélec within Université Paris-Saclay (France). I am also pursuing a double degree with Université de Lorraine (France) through its IA²VR Master’s program (Intelligence Artificielle et ses Applications en Vision et Robotique).

I hold a Bachelor’s degree in Computer Engineering from Politecnico di Torino.

I am conducting my Master’s thesis at KTH Royal Institute of Technology, within the Department of Robotics, Perception and Learning (RPL). My research focuses on multi-task reinforcement learning and task representations for robotics.

I contributed to Squadra Corse Driverless PoliTO, working on LiDAR-based systems for autonomous driving applications.

Previously, I participated in the UROP@PoliTO research program with the project From Natural Language Text to Source Code. I investigated approaches to improve small and medium-sized language models, up to 15B parameters, for text-to-SQL tasks on the BIRD benchmark, experimenting with AdalFlow for optimization and evaluation.

I worked at Synesthesia as an AI Workshop Instructor for Teachers. I designed and delivered workshops introducing artificial intelligence concepts to elementary school educators and taught practical uses of accessible AI tools, including image generators and chatbots, for classroom integration.

Research Interests

Deep learning, statistics, deep reinforcement learning, computer vision, robotics, natural language processing, mathematics, machine learning, and finance.

Technical Skills

Python, C, C++, PyTorch, ROS, Linux, MATLAB, Spark, Hadoop, Docker and Git.

Relevant Coursework

Robot Learning, Deep Learning, Advanced C++, Natural Language Processing, Machine Learning, Mathematics for Machine Learning, and Statistical Models.

Languages

Italian, English, and French.