My journey from a physics lab in Italy to AI and finance in Toronto
My work has been shaped by two disciplines: one gave me the tools to understand how systems actually behave, the other set the standards I hold myself to.
The short version
First half marathon in 2025, first full marathon in 2026
Both trained for around full-time work and study. Neither came easily, which is exactly why they're here.
Retail investor & financial literacy guide
Self-taught through books and studying wealthy minds online. Now I help others understand money, whatever their starting point.
Largely self-taught
Data, finance and biohacking were all built by doing them badly first, then a little less badly, for years.
A career built across three countries
Italy, the United States, and now Canada. Starting over teaches you things comfort never will.
What shaped my work
Service & accelerated learning
While pursuing my background in physics, I served with the Italian Red Cross and managed event operations at major athletic venues across Novara, Milan, Turin and Bergamo.
Operating in these dynamic environments reinforced two core principles: how to execute effectively under high-pressure conditions, and how to rapidly master new capabilities when performance is mission-critical. This foundation drives my hands-on approach to skill acquisition and technical ownership.
International experience & professional growth
In 2023, I transitioned from a stable analytics background in Italy to pursue advanced studies in North America, triggering a period of rapid professional expansion.
Immersing myself in multicultural, international environments refined my communication, expanded my language proficiency in English and Spanish, and elevated my cross-cultural collaboration. Technically, this period accelerated my specialization into data quality analysis, transitioning my financial focus toward market strategy and investment principles.
Current focus & operational standards
Today, I evaluate large language model outputs against complex rubrics as an AI Trainer, while studying Computer Programming at George Brown College.
Concurrently, I develop open-source analytical frameworks in finance and human performance, publishing my methodology in full for empirical validation. I bring this same standard to every team: high analytical precision, documented methodology, and rigorous execution.
If any of this resonates, say hello
Whether you're building something at the intersection of data, finance and AI, or you just want to compare notes on training and habits — my inbox is open.