Researcher and developer active in research on automated artifact scanning and intelligent data analysis. Passionate about innovative technological solutions at the intersection of humanities and engineering.
Proficient in Python, image processing, 3D reconstruction (SfM, NerF, Gaussian Splatting), and AI frameworks. Actually studying and leveraging the potential of LLMs and RAGs in cultural heritage, with a focus on automating data analysis through the latest and powerful tools and libraries.
Retrieval Augmented Generation (RAG) system using Redis and Agentic AI for efficient data retrieval, processing and cross-analysis of historical documents.
Integration of 3D scanning and robotic systems for autonomous operations for the digitization of archeological artifacts in the context of the CTE-Genova project.
Image post-processing app with object detection, cropping, compression, and white balancing.
WebDoc (online documentary) on Italy’s racial laws in media, combining scholarly study and web documentary formats.
March 2024 - March 2025
Application of computer vision techniques and robotics scripting to automate the scanning and analysis of cultural heritage artifacts, focusing on 3D reconstruction and data extraction.
Technologies used: Python, Robotics (UR, Robotiq), COLMAP, NerF/Gaussian Splatting, 3D Scanners and cameras (Artec, Polyga, Intel Realsense, Zivid), Genesis
February 2022 - February 2024
Development of a pipeline for the automated post-production of images of ancient books and documents, involving object detection and metadata recognition + extraction.
Technologies used: Python, Pytorch, Detectron2, OpenCV, Leaflet, Adobe Lightroom, RawTherapee, Canon cameras