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francescobrigante/README.md

👋 Hey there

LinkedIn Profile Link Email

I'm Francesco, a Computer Science Master's student with a deep passion for Machine Learning.

I currently work part-time as an AI Engineer, where I specialize in building and implementing RAG (Retrieval-Augmented Generation) solutions for enterprise applications.

The topics that I'm most interested in are LLMs and Deep Learning techniques for Audio and Music.

🤖 Large Language Models (LLMs)

Some of my projects about the topic:

  • VectorRAG vs GraphRAG: implementation and benchmarking of 4 different RAG systems optimized for Enterprise Knowledge Retrieval
  • Digital Self-Replica: easily clone yourself using a quantized LLM + your WhatsApp Chats

🎶 Deep Learning for Audio & Music

As a music enthusiast, I love solving musical problems that I face using ML/DL solutions:

  • Real-time AI Accompaniment: Hybrid AI/Musical-Theory System that listens, understands, and plays with you in real-time. It combines the predictive power of Deep Learning (LSTM) with the responsiveness of a Rule-Based Musical-Theory System (Ear), allowing it to "think ahead" while remaining agile enough to react to your live playing.
  • Audio2PianoRoll: Automatic Music Transcription system that converts isolated guitar audio into a Piano Roll
  • Audio Style Transfer: investigating the Disentanglement of Latent Representations of the input in complex domain, to provide style transfer between two musical instruments.

🌱 I’m open to collaboration! If you're working on exciting projects related to LLMs, RAG, or ML/DL for Audio and Music, feel free to reach out!

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  1. VectorRAG-vs-GraphRAG VectorRAG-vs-GraphRAG Public

    Comparative study evaluating performances of Milvus Vector-based RAG vs Neo4j Graph-based RAG systems for Enterprise Knowledge Retrieval

    Python 1

  2. Digital-Self-Replica Digital-Self-Replica Public

    Build a unique digital replica that is not only able to respond via chat naturally and correctly as the real person would, but also using his writing style and lexical/syntactic preferences. Only t…

    Jupyter Notebook

  3. Audio2PianoRoll Audio2PianoRoll Public

    A deep learning-based Automatic Music Transcription (AMT) system that converts isolated guitar audio into a Piano Roll representation using CQT and a U-Net-style architecture

    Jupyter Notebook 1

  4. Audio-Style-Transfer Audio-Style-Transfer Public

    Neural Audio Style Transfer between piano and violin using GAN-based Encoder-Decoder architecture based on Disentanglement of Latent Representations of the input in complex domain

    Jupyter Notebook 4 1