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Physicist · Cloud & ML Engineer
I turn complex problems into reliable infrastructure and models that hold up in production, with the methodological rigour of experimental physics.
01 — Profile
I am a physicist by training who designs and runs cloud infrastructure and machine learning systems. I bring the experimental method — measure, isolate the variables, iterate — into the life cycle of real platforms and models.
I work daily with AWS and Kubernetes, build data pipelines, and handle anomaly detection along with evaluation and red teaming of LLM-based agents. I care about reliability: observability, cost control, reproducibility.
I look for essential systems: few dependencies, predictable behaviour, honest documentation. This site is an example — static, no cookies, no tracking.
02 — Experience
03 — Skills
04 — Education
102/110 — thesis “Mass loss in AGB stars and its observational indicators” (advisor: Maurizio M. Busso).
96/100 — humanities education and logical-argumentative method.
Masterclasses & training
05 — Beyond work
Computer-science workshop with the teenagers of the DesTEENazione space in Perugia: together we designed and built a Telegram chatbot with semantic search.
Attended Italy's main Python conference: ecosystem, best practices and community.
Coached an amateur five-a-side team of the Sentinelle del Mattino club in the provincial CSI league: group management, training sessions and matches.
Youth leader since the age of 15, now also coordinating activities and fellow leaders: summer camps and youth groups.
Active member of the local community dedicated to artificial intelligence: meetups, technical discussion and outreach.
06 — Contact
Cloud, infrastructure, MLOps, data pipelines or R&D consulting. Drop me a line: I reply to every email.