About me

Hi, I’m Francesco, a Computer Science graduate from Sapienza University of Rome where I ranked first in my faculty and now an AI Research Engineer at the National Research Council (CNR). I work on generative models and 3D animal behavior analysis together with the Max Planck Institute in Tübingen (MPI) and Cornell University.

Passionate about pushing the boundaries of AI research, I have consistently delivered innovative, high-impact solutions across a range of challenging projects, from developing AI 3D human modeling systems to designing UAV routing algorithms. I thrive in collaborative environments where innovative ideas flourish

What i'm doing

  • design icon

    AI Researcher

    Currently working on a research project focused on 3D animal shape and pose reconstruction

  • Web development icon

    Personal Projects

    Building microservice-based web applications to improve my web development skills

  • mobile app icon

    Mobile apps

    Developing iOS applications using SwiftUI for personal projects

  • camera icon

    Photography

    I make high-quality portait photos at a professional level

Tools I use

  • VS Code

    IDE

  • Python

    Language

  • PyTorch

    Framework

  • Docker

    DevOps

  • Git

    Version Control

  • LaTeX

    Typesetting

  • Linux

    OS

  • NextJS

    Web

Resume

Experience

  1. AI Research Scientist

    National Research Council of Italy (CNR)

    Mar 2025 — Present

    • Designing deep learning models for animal behavioral analysis and 3D shape reconstruction.

    • Project funded by the Italian Ministry under the Support for Young Italian Talents in ERC.

    • Collaborating with Tübingen University and Cornell University.

  2. AI Researcher

    Sapienza University of Rome

    Mar 2024 — Oct 2024

    • Worked at PINLab on Virtual Humans, developed models to generate human pose sequences.

    • Assigned to this role after being selected for the Sapienza Excellence Program.

  3. AI Junior Researcher

    NATO SeaSec Program – Sapienza University of Rome

    Dec 2023 — Jan 2025

    • Developed and tested routing algorithms for autonomous UAV networks in maritime security.

    • Simulated drone behavior using ROS, Gazebo, and DJI SDK.

    • Co-authored the paper “Developing a Fully Autonomous DJI Payload” (ACM MobiHoc 2024).

  4. Teaching Assistant

    Sapienza University of Rome

    Mar 2023 — Jul 2024

    • Assisted in Calculus and Algorithms classes of Computer Science course with over 70 students.

    • Increased first-attempt pass rates by ~50% through personalized lessons and Python labs.

  5. Software Engineer Intern

    Gamification Lab – Sapienza University of Rome

    May 2022 — Jan 2024

    • Built a predictive model using BLE signals to detect user transport mode.

    • Integrated the model into a smart parking app and coordinated a team of 8 researcher.

Education

  1. MSc in Computer Science

    Sapienza University of Rome

    2022 — 2024

    GPA: 29.9/30 — ranked 1st in Faculty

    • Graduated with 110/110 cum laude

    Thesis: “A Gaussian Splatting Approach to Sewing Pattern Refinement and Garment Alignment”.

    Courses: Artificial Intelligence, Deep Learning, Graphics & Computer Vision.

  2. BSc in Computer Science

    Sapienza University of Rome

    2019 — 2022

    Thesis: “Vehicle Type Detection through BLE Device Scans”.

Honors & Awards

  1. 2025: 1st Place – PiCampus Hackathon on AI for Translation

    Translated

  2. 2025: 3rd Place – Google GDG Hackathon on AI for Education

    Google

  3. 2024: Winner - Silicon Valley Fellowship Program (2024)

    Silicon Valley Fellowship

  4. 2024: Top Ranking in Computer Science Faculty

    Sapienza University of Rome

  5. 2024: Excellence Program Scholar – Sapienza University of Rome (2024)

    Sapienza University of Rome

  6. 2024: Best Project – Multilingual Natural Langauge processing class

    Sapienza University of Rome

  7. 2024: Finalist – Dock3 The Startup Lab (2024)

    Dock3

  8. 2024: Winner - Oxford Machine Learning Summer School (Generative AI, 2024)

    Oxford

  9. 2023: Winner - Google Billion User Cloud Application Summer School Scholar (2023)

    Google

Technical skills

  • AI / Machine Learning
    90%
  • 3D and Vision
    85%
  • Web / App Development
    70%
  • Robotics
    50%

Publications

Projects

Contact

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