A recommendation system for restaurant menus that beat the random baseline 3.5× (Precision@5 31.8% vs 9.2%) and held cold-start users at parity. Built end-to-end on real customer order data during a six-month software-engineering internship at Dishup SRL, an Italian restaurant-tech startup, and delivered as my MSc thesis at the University of Padua — “A Hybrid and Adaptive Learning Framework for Personalized Restaurant Recommendations”.
Course project for Human Data Analytics (University of Padua): an Xception classifier for lung disease in chest X-ray images, plus an ablation that measures what ImageNet pretraining is worth on a small medical dataset.
A Pix2Pix-style conditional GAN that colorizes grayscale CIFAR-10 images by predicting only the a/b chrominance channels from lightness. Course project for Neural Networks and Deep Learning at the University of Padua.
A research project for the Network Science course at the University of Padua: do sports brands genuinely spread eco-sustainable values on Twitter, or is it greenwashing?
A server-side Java web application for running a co-living business, where tenants book rooms and file complaints and managers organize events. Group homework for the Web Applications course, University of Padua, A.Y. 2022-2023.
