I build practical things with data, software, and AI.
Right now I'm at the tail end of my degree in Artificial Intelligence & Data Analysis, building projects in the meantime that sit somewhere between:
- “this is actually useful”
- “this probably should not have worked on the first try”
- “nice, now let's automate it”
I’m mainly focused on:
- Data analysis and automation
- Python for real-world workflows
- LLM / RAG experimentation and implementation
- SQL and data handling
- Frontend / web projects when data deserves a decent interface
- C# / .NET when Microsoft-shaped problems appear in the wild
I worked as an AI Specialist, where I dealt with:
- LLM solutions
- on-premise server setups
- open-source model evaluation
- RAG tools for business process optimization
So yes, I enjoy making machines read documents and act like they understand them.
Sometimes they even do.
This profile is a mix of:
- data-related projects
- software experiments
- tools that solve annoying problems
- frontend work with more care than strictly necessary
- random technical curiosity, weaponized into repositories
| Project | Description | Stack |
|---|---|---|
| ScrapingStore | Practical data pipeline with scraping, cleaning, storage, and analysis. Built to show that I like working with messy data almost as much as I like complaining about it. | Python, Pandas, SQL, Playwright, Docker |
| KeeFetch | C# plugin project with actual documentation, releases, and structure. A rare case of a side project behaving like software and not like a digital crime scene. | C#, .NET |
| ThystTV | Mobile/open-source exploration that helped me get more comfortable with unfamiliar codebases and product logic. | Kotlin, Android |
I’m aiming for junior opportunities in:
- Data / BI / Analytics
- AI-enabled software
- Frontend / data-heavy product work
- Software development with practical impact
Basically: I like building things that are useful, understandable, and not held together entirely by hope.
- Italian: native
- English: strong enough to study, work, attend meetings, and argue with documentation
- French: decent enough to survive
If you're here to judge my code, fair.
If you're here to collaborate, even better.