Curious, dedicated and focused on technical aspects, my life right now goes around the new field of Artificial Intelligence and my main objective is to bring my own contribution to this challenging era.
I am currently a student in the Master Degree in Data Science and Artificial Intelligence at the University of Trieste, studying in details aspects like Deep and Reinforcement Learning, NLP and High Performance Computing concepts. My background derives from Economics, a field that really interests me on a quantitative point of view.
I am also a pianist and a gym enthusiast, navigating in the fantastic world of Calisthenics. I am working on a chess engine, a very interesting project born during the first semester of the Master program.
You can follow me on GitHub or connect with me on LinkedIn !
This is a library for scientific computing written in C++ and Python. It provides a set of tools for statistical analysis, interpolation and ODE resolution.
[GitHub]
This project explores two methods for creating a machine cluster: virtual machines and Docker containers. By implementing both approaches, it assesses their performance and efficiency in a clustered environment.
[GitHub]
In this project I co-developed a complete chess game in C++, displaying the GUI using Streamlit. Right now we are working on a chess engine using Reinforcement Learning with the objective to integrate it with the actual implementation of the game.
[Chess Game]
This is a resampling method derived from the SMOTE technique, using the Dirichlet distribution to generate synthetic samples.