I pursued a 🎓 Master’s Degree in Computer Science and Engineering at the University of Florence, graduating with full marks in October 2020. During my Master’s studies, I participated in two Erasmus programs, one at Ghent University in Belgium and another at the University of La Rochelle’s L3i research group. During my studies, I also gained industry experience as a data scientist at Alias2k, developing AI solutions to enhance the company’s products.

I began a 🧑🏻‍🏫 PhD in Artificial Intelligence in November 2020, focusing on Document Image Analysis and Recognition, Graph Neural Networks, and Natural Language Processing. During this journey, I spent a year as a visiting researcher at the Computer Vision Center. I published several research papers in top-tier international conferences, journals and workshops - ECCV, ICASSP, IJDAR, PRL - and also attended ICVSS 2023 and Cambridge ELLIS 2022 summer schools (30% and 50% acceptance rate). I also taught theory and programming courses at the universities of Florence and Arezzo and supervised students on their projects and theses. In 2023, I was also entitled as IAPR International Scholar (pg. 14 IAPR newsletter).

After successfully concluding my PhD with the Doctor Europaeus title, I joined 👨🏻‍💻 LetXBe, a Paris-based startup focused on Document Analysis and NLP, in December 2023. In my current role, I am creating innovative LLM-based and multi-modal solutions for research purposes and client requirements. I am also actively contributing to product development, leading a monthly internal reading group to foster technical team knowledge sharing and collaboration.

I am passionate about 🌐 open source development and contributing to the research community. My projects have gathered 200+ GitHub stars, including Doc2Graph for document information extraction and EasyMCP for translating OpenAPI to MCP servers - which earned 3rd place at the Paris AI Hackathon. I actively review for IJDAR journal and ICDAR conference, while my research has accumulated 100+ citations on Google Scholar and my Hugging Face datasets and models have reached 10k+ downloads.

Tools & Languages

🤖 Machine Learning & Dev

PyTorch, Transformers, vLLM, DGL, Detectron2, FastAPI, Gradio

📊 Data & MLOps

Pandas, Scikit‑Learn, Jupyter, Tensorboard, W&B, Docker, Git

☁️ Cloud & Infrastructure

AWS (SageMaker, S3, Lambda), Scaleway

💻 Programming

Python (Expert), C++, TypeScript

🗣️ Languages

Italian (Native), English (C1), French (B1), Spanish (B1)

Downloads

📄 CV SHORT 📋 CV LONG

Places

  • Figline V.no & Montevarchi 🇮🇹 - until 2018
  • Ghent (Erasums+ Ghent University) 🇧🇪 - from 2018 to 2019
  • La Rochelle (Erasmus+ L3i Lab) 🇫🇷 - in 2020
  • Florence (PhD AI Lab @ UniFI) 🇮🇹 - in 2021
  • Barcelona (Visiting Researcher @ CVC) 🇪🇸 - from 2022 to 2023
  • Paris (AI Research Scientist @ LetXbe) 🇫🇷 - from 2024