| CARVIEW |
PhD in Computer Vision at the University of Bristol, supervised by Professor Dima Damen and Dr. Michael Wray, with a strong academic background and applied research experience in both academic and industrial settings, including a research internship at Meta AI. My research focused on multimodal video understanding, particularly in vision-language interactions for tasks such as cross-modal video retrieval. I have developed solid expertise in Machine Learning (ML), Deep Learning (DL), Computer Vision (CV), and Natural Language Processing (NLP), supported by a strong mathematical background. I have several years of experience using PyTorch to build and train ML/DL models. I am currently working at NexusAM as Founding AI Engineer, where I can apply my skills and research experience to solve real-world challenges in Additive Manufacturing. When I am not working, I enjoy travelling, exploring new cultures, and mixing music. These interests keep me refreshed and inspire my creativity in both my research and daily life.
Publications
Education & Experience
PhD in Computer Vision
University of Bristol
Supervised by Professor Dima Damen and Dr Michael Wray
Research Scientist Intern
Meta AI
Teaching Assistant
University of Bristol
- Applied Deep Learning
Python/Machine Learning Tutor
Skienda
Tutor of a six-student class during a regional course for future Data Scientist set up by Skienda startup
MSc in Data Science
Sapienza University of Rome
Supervised by Dr Aristidis Anagnostopoulos, Dr Danilo Avola and Mr Luigi Cinque
BSc in Physics
Sapienza University of Rome
Supervised by Dr Paolo de Bernardis
Interests
Music
I have always loved music, from the raw energy of metal and rock to the electrifying beats of electronic music. But Techno music holds a special place in my heart among all these genres.
Techno music has always been more than just a genre to me; it's a pulsating heartbeat that syncs with my soul. As an amateur techno DJ, I find immense joy in spinning tracks that delve into the depths of Hypnotic, HardGroovy/Groovy, Tribal, Industrial, Dark Techno – my favourite subgenres that truly capture the essence of this powerful music.
The main attitude in the Techno scene is about liberation and unity. It's a soundscape where individuality and community coexist, where the rhythm drives a collective euphoria, and the beat transcends language and culture.
I love the foundation of inclusivity and respect that techno stands on. It's about leaving prejudices at the door, respecting the space and each other, and losing oneself in the music.
Techno is more than music; it's a movement, a way of life that continues to inspire and unite people around the world.
Travelling
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