A self-hosted AI support chat that any website adds with one script tag: an iframe-isolated React widget streaming Gemini replies over SSE, designed and built solo in one week.
The authoring platform behind procedimentipa.gov.it, the Italian government’s public catalog of administrative procedures: AI workflows draft procedures directly from legislation, legal experts review and approve every one, and the approved catalog (~700 procedures today) is published for any citizen to read and search.
Compiles the procedures and laws behind procedimentipa.gov.it into an Obsidian-compatible markdown vault: a linked knowledge graph that people and LLM agents navigate by following links instead of re-running retrieval on every question.
An internal tool that treats prompts like weights. It runs a LangGraph agent over a golden dataset, scores every output with an LLM judge, then evolves the prompt text until the scores climb.
An internal proof of concept built at Go Project: course editors upload their teaching material and get AI-generated study aids back — a two-host Italian audio podcast, quiz questions, and a streaming chat panel.
A self-hosted semantic search engine for CV/profile data. It replaced manual PDF skimming and keyword-only lookup with hybrid vector + keyword search, and the whole pipeline runs on local infrastructure so candidate data never leaves the network.
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”.
An asynchronous websocket backend for the Breathment physiotherapy app that analyzes patients’ breathing and movement exercises from a live camera stream, in real time.
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 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?