Massimo Pignatti
About Me
I am passionate about Artificial Intelligence and Machine Learning, with a particular interest in the internal workings of models and their practical applications.
I have experience in developing machine learning models, data analysis, and building modern web applications.
I mainly focus on designing functional solutions to real-world problems, paying attention to both algorithmic aspects and software efficiency.
I am currently completing my Master’s degree in Artificial Intelligence at the University of Bologna.
Education
- MSc in Artificial Intelligence — University of Bologna (2024–2026)
- BSc in Computer Science — University of Bologna (2021–2024)
Internships & Work
-
Data Engineer Intern — Parma Calcio (Sep 2025 – Present)
Management and maintenance of AWS-based data pipelines; collaboration with cross-functional teams on data science projects and scouting chatbots; infrastructure optimization and open-source contributions. -
Freelance Developer — Python, SOAP APIs (Feb – Jul 2024)
Development of custom Python tools to automate client workflows via SOAP operations. -
Web Developer Intern — Hykee (Feb – Apr 2024)
Full-stack feature development with React and Spring Boot; implementation of responsive mobile UIs and participation in Agile sprints.
Languages
- Italian — Native Speaker
- English — B2 (Upper-Intermediate)
Skills
Programming Languages
Frameworks & Libraries
Machine Learning
Databases
Data Engineering
DevOps & Tools
Portfolio
Spotify Playlist Generator
AI-based project for generating Spotify playlists by recognizing music genres.
View on GitHubTondo Website
Development of a customizable platform accessible via QR code.
Allowed businesses to manage menus, buttons, and dynamic content.
First challenge working with AWS S3 for scalable hosting.
Private code
FamilyApp
Family management app: shopping list, shared calendar, and activities.
Private code
CarParking
Real-time vehicle tracking using NFC technology.
Private code
MailSender
Monitoring service that automatically sends emails based on system status.
Private code
BitChess
Strategic AI project to win in "Really Bad Chess" mode.
Code unavailable
B.Future Hackathon – Amadori
Third place as a team in the Amadori challenge at the B.Future Hackathon. In addition to the full‑stack web platform (frontend + backend), I designed a Linear Programming algorithm to efficiently manage minced‑meat batches and mixtures, optimising resource usage across the production process.
GenHack4 – Generative Modelling Hackathon
Award winner at GenHack4, an international hackathon on generative models. Designed pipelines for data downscaling and modelling of complex phenomena, including evaluation of model performance with dedicated metrics.
BookShelf Vision
Image Processing and Computer Vision project for reading books on shelves. The system detects book spines, segments text regions and extracts titles and authors via OCR, automatically building a digital catalogue.
Sports Tournament Scheduling (STS)
Combinatorial optimization project for round-robin sports tournament scheduling. Comparison of four approaches — Constraint Programming, SAT, SMT, and MIP — in both decision and optimization modes, packaged in a containerized Docker environment.
Privacy & Tracking Audit Toolkit
Toolkit built for the AI Ethics course (UniBo / Pika Lab) that scans a site's legal policies, observes real browser tracking behavior with Playwright, and computes deterministic privacy scores, comparing policy claims against actual site behavior.
Chess Coach Base
Web app for playing chess against Stockfish, with move validation through python-chess and full game storage in SQLite. Includes post-game analysis, Gemini-generated commentary, and an in-app puzzle trainer backed by the Lichess database.