Legal AI Assistant — KG-Enhanced LLM for Italian Law
Conversational assistant for the Italian legal domain combining RAG with Hybrid Search and a Knowledge Graph-enhanced LLM.
I design and build systems powered by Large Language Models: AI agents, RAG pipelines and Knowledge Graph-enhanced architectures. Master's degree in Computer Engineering (AI & Machine Learning) at the University of Calabria.

I hold a Master's degree in Computer Engineering with a specialization in Artificial Intelligence & Machine Learning from the University of Calabria. I am currently working as a part-time intern at Convergence Consulting, focused on designing and developing software for CAD process automation assisted by Generative AI tools, and I recently completed a research fellowship at the University of Calabria on advanced techniques for orchestrating LLM-based AI agents. I have a strong interest in Natural Language Processing (NLP) and the related fields of artificial intelligence: I love staying up to date and experimenting with every new technology.
Design and development of software for CAD process automation, assisted by Generative AI tools.
Advanced techniques for the orchestration of LLM-based AI agents.
Thesis: Design and Development of a Generative AI Multi-Agent System for searching, understanding and reviewing job offers and resumes.
Thesis: Markovian, Adaptive and Intelligent methods for optimization problems.
High school diploma.
Pre-academic music course - Piano.
Conversational assistant for the Italian legal domain combining RAG with Hybrid Search and a Knowledge Graph-enhanced LLM.
Multi-agent system for automatic email management based on CrewAI and an MCP Server as the communication layer.
Evolution of the AgentMail project: native Gmail and Google Calendar integration, vector storage on Qdrant and automatic event creation.
Multi-agent system (9 agents, 3 scenarios) that analyzes PDF resumes and semantically matches them against 100,000 job offers on Qdrant.