1. Introduction
Some people optimise for career paths. I optimise for interesting problems. This has led me from building predictive AI for prosthetic limbs to designing haptic devices for hospital patients, from teaching Python to teenagers to advising companies on the EU AI Act.
The common thread is curiosity. The secondary thread is stubbornness. Formally:
\[ \forall\, p \in \text{Problems} : \text{interesting}(p) \implies \text{investigate}(p) \]
I'm based in Eindhoven. I grew up in Italy, which mostly explains the hand gestures during code reviews.
2. Current Research Instruments
The following tools have proven useful across experiments:
- Python & PyTorch — primary language for thinking
- TensorFlow & FastAPI — when the problem demands it
- Next.js & React — interfaces for humans
- Redis & SQL — memory, short-term and long-term
3. Selected Experiments
3.1. Predictive Control for Bionic Prosthetics
Winner, PhD+ 2024 (CLabs × University of Pisa). The idea: make a prosthetic arm anticipate user intent before the signal fully arrives. Target latency: \(\approx 0\) ms. Think autocomplete, but for your body.
3.2. Immersive Haptics for Healthcare
Winner, ICMS × HaptonTech Master Challenge 2025. A modular haptics suite for bedridden patients — designed for reliability, low cost (35% cheaper than comparable kits), and the kind of comfort that's hard to quantify but easy to feel.
3.3. Teaching & Certification
150+ students across Save the Children, CoderDojo Pisa, Hack Your Future, Volta Institute. 90%+ completion rate. Certiport-certified instructor (AI & Python). 8+ certifications carried.
3.4. AI Consulting & Sovereign Architecture
I help companies build AI systems that they actually own — no vendor lock-in, no accidental GDPR violations, no "the model is a black box and nobody knows where the data goes." For the full portfolio, see salvoaistrategy.eu.
4. Parallel Investigations (Off-Clock)
Not everything interesting requires a compiler.
The long-term plan involves land, animals, a workshop, and a garage full of vintage engines waiting to run again. Until then, the research continues in smaller spaces.
Other active threads: martial arts (owning agility and strength, not just typing speed), strategic games (chess has been a constant — and yes, Yu-Gi-Oh still counts Some things you grow up with become part of how you think. Trap cards taught me more about timing than most textbooks.), and books — especially dystopian fiction and the oniric worlds of Murakami, where cats disappear and reality is negotiable.
5. The Experiment (Your Turn)
Every visitor to this site shares a single chessboard. Moves are stored in Redis and synchronised globally. It's a small proof that strangers can collaborate on something — even if the result is chaos.
6. Open Questions
- What's the optimal ratio of motorbike restoration to code deployment?
- Can a shared chessboard played by the entire internet reach checkmate in finite time?
- Is there a Murakami novel where the protagonist doesn't cook spaghetti?
- How many Dutch winters does it take for an Italian to stop complaining about the weather? (Current estimate: \(\infty\))
7. Conclusion
The work continues. The barn is still theoretical. The motorbikes exist only as bookmarks. But the interesting problems keep arriving, and that's the part that matters.
Q.E.D.