πΌ Professional Experience (Click to expand)
2022 - Present
- Design, build, and deploy custom end-to-end Machine Learning systems and decision-making Agentic-AI;
- Extensively implement LLM & RAG architectures using LangChain and LangGraph, including evaluation frameworks and hallucination mitigation;
- Architect Bayesian and probabilistic models for system traceability alongside real-time anomaly detection pipelines;
- Deliver robust computer vision tasks (detection/tracking) for high-scale international industrial environments.
2021 - 2022
- Developed data analysis software powered by machine learning algorithms to identify complex patterns in cosmic radiation data for the AMS-02 experiment.
π Education & Academic History
- π PhD in Astro-Particle Physics β University of Perugia (2018 - 2022)
- π¨βπ« Assistant Professor β University of Perugia (2018 - 2021)
- π Master's Degree in Physics β University of Perugia (2015 - 2018)
- π Bachelor's Degree in Physics β University of Perugia (2011 - 2015)
π Continuous Learning & Interests
- π οΈ Currently Learning: Kafka (Data Streaming), Rust Programming Language
- π§ Core Specialties: Agentic-AI, Trustworthy AI, Statistical Learning, Time-Series Modeling, Cloud Computing (AWS)




