Matteo Prandi — CTO
Every week AI shifts a bit: a new model, a new paper, a new promise. Even if you follow this closely, it’s easy to lose the thread. My way of staying grounded is evaluation. I work with models and study how they behave in practice, how to assess them (robustness, failure modes, safety) and how their capabilities translate into real changes in society, from everyday use to workplace adoption. I’m especially interested in the bridge between mechanism and impact: what systems can actually do, where they fail or must be constrained, how organizations integrate them, and what that implies for tasks, skills, and jobs. If you’re trying to understand AI without drowning in noise, follow along. I aim to help people stay oriented, making decisions from evidence, not headlines.
Stackforce AI infers this person is a leader in AI Safety and Risk Management within the Tech industry.
Location: Rome, Latium, Italy
Experience: 5 yrs 4 mos
Skills
- Ai Risk Management
- Quantitative Risk
- Risk Management
Career Highlights
- Expert in AI safety and evaluation methodologies.
- Strong background in quantitative risk analysis.
- Passionate about bridging AI mechanisms and societal impact.
Work Experience
DEXAI
Tech Lead, AI Safety & Eval (10 mos)
AI Safety & Risk Specialist (1 yr 2 mos)
CEN and CENELEC
Technical Expert - JTC 21 on Artificial Intelligence (11 mos)
ISO - International Organization for Standardization
Technical Expert - JTC 1/SC 42 Artificial Intelligence (11 mos)
Euronext Clearing
Quantitative Risk Analyst (1 yr 3 mos)
Associate, Risk Management and Membership (8 mos)
Juno Consulting
Risk Management Analyst (2 yrs 2 mos)
Education
Doctor of Philosophy - PhD at Sapienza Università di Roma
Master of Science (MSc) at Sapienza Università di Roma
Master at 24ORE Business School
Bachelor of Science (BS) at Università degli studi Roma TRE