Data Science & Engineering Student at Politecnico di Torino.
Erasmus student at CentraleSupélec & Université de Lorraine.
CentraleSupélec (France)
Project: Research on Reinforcement Learning: Multi-SOM Architectures.
Université de Lorraine (France)
Politecnico di Torino (Italy)
Politecnico di Torino (Italy)
A curated selection of my most significant projects in Machine Learning, Optimization, and Computer Vision.
Developed a robust ML pipeline to predict speaker age from audio. Implemented custom feature engineering (MFCCs, Spectral Centroid) and achieved class-best performance.
🏆 Best Class Performance: RMSE 9.250
Optimized item pricing in a stochastic Assemble-to-Order system. Utilized the Surface Response Method (SRM) to model the Black-Box revenue function.
Implemented a deep learning pipeline to estimate the 6D pose (translation + rotation) of objects from RGB-D images for robotic manipulation tasks.
Investigated using classical methods like Newton's and Nelder-Mead for finding optimal points in highly complex, non-convex functions.
Applied PCA and k-Means clustering on survey data to identify distinct psychological archetypes.
Built a facial recognition system using SVD, PCA and KNN.
When I'm not optimizing algorithms or analyzing data, I enjoy exploring the world and staying active.
Market Analysis
Skiing & Hiking
Global Explorer
Continuous Learning
Problem Solving
Relaxation
Fitness
Football & Table Tennis