I work embedded with the business: I start from the problem a team has and build what solves it, whether that is an AI solution, a dashboard or an optimisation, and I stay with it until people rely on it.
Outside of work I run small experiments to understand how new models and techniques behave in practice, and I build side projects at the intersection of AI and everyday problems.
| AI Engineer | ekona.ai | Sep 2026 – Present |
Forward deployed: embedded with enterprise clients, I take a business problem from the first conversation to a system running in production, building AI that takes over slow, manual work and makes it fast and reliable. | ||
| Data Scientist | Roche | Mar 2024 – Aug 2026 |
Worked inside the group's business functions as their data partner: forecasting, optimisation and AI tools that turned months of analysis into weeks and gave leadership a clearer basis for decisions. | ||
| Founding Partner, advisory | plAImakerz | Sep 2025 – Present |
A software house I co-founded: specialists and dedicated teams for the MuleSoft and Salesforce ecosystem, plus custom software. I am not in day-to-day operations; I advise on AI. | ||
| MSc Applied Data Science for Banking & Finance | Univ. Cattolica · Univ. do Minho | 2022 – 2025 |
Machine learning and statistics for financial data, from the foundations to deep learning and reinforcement learning. Studied between Italy and Portugal on a full merit scholarship. | ||
| BSc Business Administration, Finance | Univ. di Milano-Bicocca | 2019 – 2022 |
On a full merit scholarship. | ||
The harness I use to work with coding agents: one coordinator, a background thread per task, and checks that run before anything reaches me.
Compare Swiss health insurance plans and ask questions about them in plain language.
Small experiments on language models that fill in text instead of writing it left to right, run entirely on a laptop.
An open-source iPhone keyboard that turns speech into text without leaving the device.