Computer Science student at Politecnico di Milano.
I build research systems, data-heavy tools, and full-stack applications.

I am interested in the intersection of:

• machine learning systems,
• quantitative research infrastructure,
• data validation and reproducibility,
• high-performance computing,
• full-stack products that real people can use.

My current focus is learning how to build software that does not just produce nice-looking results, but can also explain where those results came from and why they should or should not be trusted.

A research infrastructure for falsifiable equity-strategy experiments.

This is not a trading bot and not a promoted strategy. It is a lab for testing whether strategy ideas survive data-quality checks, transaction costs, out-of-sample validation, robustness gates, provider constraints, and an audit trail.

The project includes:

• governed pre-run gates before provider queries or backtests,
• decision ledgers and vault reports for every research outcome,
• outlier-dependency and cost-realism gates,
• regime-aware portfolio diagnostics,
• Streamlit dashboards for inspecting strategies, blockers, and results,
• a frozen monthly replication protocol for the remaining active hypothesis.

Main lesson: the lab has promoted zero strategies so far, which is exactly the point. It is built to reject weak evidence before it becomes a trading claim.

Python | pandas | scikit-learn | Streamlit | time series | quantitative research

Full-stack web application for market stall booking and event management, built for Pro Loco Soresina and deployed in production.

Next.js | Supabase | TypeScript | PostgreSQL

Computer-vision research prototype for detecting cephalometric landmarks from radiographic/profile images.

C# | EmguCV | OpenCV | image processing

Multiplayer chess application with Java RMI synchronization, legal move highlighting, turn handling, check/checkmate detection, and castling support.

Java | Swing | RMI

Java Swing typing trainer with accounts, timed challenges, scoring, difficulty modes, and leaderboard screens over a socket-based protocol.

Java | Swing | sockets

Languages: Python, Java, TypeScript, JavaScript, C#, C

Data / ML: pandas, scikit-learn, time-series validation, Streamlit

Web: Next.js, Supabase, PostgreSQL, REST APIs

Systems: Git, testing, experiment logging, reproducible pipelines

I am using my first years of university to build a foundation in computer science while turning serious personal projects into public case studies.

The long-term goal is to work on technically demanding systems: research infrastructure, ML tooling, high-performance software, and products where correctness matters.

Cremona, Italy | Politecnico di Milano