CV

PhD student for the National PhD in Artificial Intelligence at Sapienza University of Rome. MSc in Computer Engineering and BSc in Computer Science and Automation Engineering at Polytechnic University of Bari. Passionate of Generative AI, Deep Computer Vision, Deep Reinforcement Learning, Recommender Systems and Robotics.

Work experience

Research Internship

• University: INFSYS Lab @ Alpen-Adria-Universität Klagenfurt, Austria
• Period: Apr 2023 - Jul 2023
• Description: During my internship, I focused on complementary recommendation in the fashion domain, supervised by Prof. Dietmar Jannach. The main objective was to develop an outfit recommender system capable of suggesting compatible combinations of fashion items, even if they have never been seen together before. I explored various Generative AI approaches, including GANs, Stable Diffusion, and Masked Generative Transformers models. Additionally, I completed my Master’s Thesis under the joint supervision of Prof. Dietmar Jannach and Prof. Tommaso Di Noia.

Deep Learning Engineer

• Company: Wideverse, Italy
• Period: Apr 2022 - Oct 2023
• Description: As an R&D Deep Learning Engineer, my focus lay in solving challenges related to Computer Vision and Recommender Systems in industrial scenarios via Deep Learning models. I collaborated with researchers and PhD students from the SisInfLab research group at the Polytechnic University of Bari, focusing on 2D and 3D Object Detection as well as Multimodal Recommender Systems.

Research Collaborator

• University: SisInfLab @ Polytechnic University of Bari, Italy
• Period: Mar 2022 - Oct 2023
• Description: My research focused on Deep Learning and Recommender Systems within the domain of adversarial machine learning, multimodal recommender systems, and deep reinforcement learning recommender systems, supervised by Prof. Tommaso Di Noia.

Education

Ph.D. in Artificial Intelligence

• University: Sapienza University of Rome
• Period: Nov 2023 - ongoing
• Description: Pursuing a Ph.D. in Artificial Intelligence through the National Program, affiliated with Sapienza University of Rome as a cornerstone.

MSc. in Computer Engineering

• University: Polytechnic University of Bari
• Period: Oct 2021 - Oct 2023
• Grade: 110/110 with honors (full marks)
• Description: Thesis entitled “Generative Artificial Intelligence for Complementary Item Recommendation in the Fashion Domain”.

BSc. in Computer Science and Automation Engineering

• University: Polytechnic University of Bari
• Period: Oct 2018 - Jul 2021
• Grade: 110/110 with honors (full marks)
• Description: Thesis entitled “Explainable AI: analysis of algorithms and application in the Recommender Systems area”.