Luca Gregori is an AI Specialist and computer engineer based in Rome with nine years of experience applying deep learning and reinforcement learning to real-world research and product problems. He currently drives R&D at NAIS, working on projects from NLP-driven sentiment analysis to Deep Learning methods for 3D reconstruction, while pursuing a PhD at Roma Tre focused on Data-Centric AI. His academic work includes a thesis on monocular depth estimation (self-supervised and supervised) and hands-on research building knowledge-graph tools, provenance capture systems, and document-processing pipelines for judicial datasets. Luca blends strong engineering practice—refactoring and extending complex tools and delivering cross-platform apps and web backends—with active literature scouting to bring cutting-edge methods into production. This mix of applied research and production-minded development makes him effective at turning experimental AI architectures into deployable solutions.
9 years of coding experience
Master's Degree, Computer Engineering, 110/110 con lode, Master's Degree, Computer Engineering, 110/110 con lode at Università degli Studi Roma Tre
Summer School, Summer School at 7th Advanced Course on Data Science & Machine Learning
Diploma Istituto Tecnico e Professionale, Computer Programming, Specific Applications, 100/100 con lode, Diploma Istituto Tecnico e Professionale, Computer Programming, Specific Applications, 100/100 con lode at ITIS G. Armellini
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