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MatteoFalcioni/README.md
github contribution grid snake animation

Matteo Falcioni | GenAI & Agentic Systems

AI Researcher @ University of Bologna Building the next generation of autonomous reasoning agents.

🧠 Current Focus: Architecting complex LangGraph workflows and multi-agent systems with RAG.

💻 Core Tech: Python, PyTorch, LangChain, Hugging Face, and CUDA optimization.

🧩 Background: Applied Physics & Geospatial AI (CNN-based LiDAR classification).

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  1. UrbIA UrbIA Public

    LangGraph multi-agentic system for urban-scale agentic AI applications

    Jupyter Notebook 2

  2. Learning-LangGraph Learning-LangGraph Public

    An intermediate-level, comprehensive LangGraph course, focusing on practical use cases.

    Jupyter Notebook 5

  3. Multiscale_Convolutional_Neural_Network Multiscale_Convolutional_Neural_Network Public

    Implementation of a Multi-Scale Convolutional Neural Network (MCNN) for the classification of LiDAR point cloud data.

    Python

  4. TARS-explains TARS-explains Public

    A voice agent inspired by the robot TARS from Interstellar. It explains Physics concepts in a detailed but understandable way. While explaining, it writes and references its own LaTeX equations.

    Python

  5. LangGraph-Sandbox LangGraph-Sandbox Public

    An implementation of a Docker-based Sandbox for code-writing LangGraph agents

    Python