Curious by nature, drawn to everything that bridges theory and reality. I’m interested in understanding and navigating complex systems through scientific rigor. I see research as a form of exploration and science as a shared language for making sense of uncertainty.

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M.C. Escher - Relativity (1953)

What I do?

Currently, I am a BSc Student in Statistics and Computer Science for Business, Finance, and Insurance at University of Naples ā€œParthenopeā€.

Alongside my studies, I am a Cloud Computing Trainee at Amazon Web Services (AWS), where I architect and deploy cloud-native solutions. My work focuses on designing computing architectures to support compute intensive workloads.

Moreover, as President of the Parthenope Machine Learning Society, I lead a community where students explore artificial intelligence, data science, and quantitative methods through hands-on projects and open collaboration.

My current research interests lie at the intersection of deep learning and quantum system modeling, where I investigate how bayesian architectures can advance our understanding of complex phenomena. More broadly, I am focused on developing algorithms that connect mathematical theory with applied solutions.

Before

  • Former Head of Research Team at Napoli Fintech Lab with Unipol S.p.A.. I directed the design of a graph-theoretic risk-matching system for insurance portfolio analysis, and architected an Azure RAG pipeline integrating fine-tuned LLMs with semantic vector databases for domain-specific corpora retrieval.
  • Ex Founder & CTO of GreenWall Research. I developed probabilistic financial time-series models using Hidden Markov Models for latent regime identification and Merton Jump-Diffusion for discontinuous price dynamics, validated empirically across multiple asset classes.

Research Projects

Selected works in machine learning, statistics, and quantitative modeling are available on my GitHub.

Get in Touch

[1] GitHub [2] Linkedin [3] You Tube