Francesco Dell'Annunziata

• Developed a custom stateful AI agent with Langchain, incorporating advanced memory, function calling, and safety mechanisms.
• Optimized AI performance using LoRA and embedder fine-tuning techniques.
• Implemented Retrieval-Augmented Generation (RAG) via Qdrant (hybrid vectorial/BM25) and engineered a unique N-ary tree/LLM service suggestion engine.
• Built and containerized (Docker) the full backend stack: Flask APIs, Redis caching, PostgreSQL persistence, and Airflow ETL.

Developed a state-of-the-art custom AI agent, highly configurable for diverse service applications, resulting in a scalable, cost-efficient, and easy-to-customize agent.

• Python, ETL, API (Flask), Computer Vision
• PostgreSQL and PostGIS, Vecotor DB (RAG)
• CI/CD - GIT - Docker

• Python(Flask, CherryPy, SQLAlchemy), SQL SERVER, JavaScript(JQuery), HTML, CSS
• Linux System Integration, Scripting Bash.
• .NET, Sharepoint, SISS, C#

• Web Development with ASP.NET
• Manage databases using SQL Server
• Technologies: HTML, CSS, C#, JAVASCRIPT(JQUERY)