Adriano Fragomeni
I am a Founding AI Engineer at NexusAM, where I build AI systems for additive manufacturing, combining cutting-edge research with production-ready machine learning. Before joining NexusAM, I completed my PhD in Computer Vision at the University of Bristol under the supervision of Professor Dima Damen and Dr. Michael Wray, and spent time at Meta AI as a Research Scientist Intern. My work focuses on Machine Learning, Deep Learning, Computer Vision, Graph Neural Networks, Vision-Language Models, and Multimodal AI. I enjoy turning research ideas into practical systems that solve real-world problems, from video understanding to industrial AI. Outside research and engineering, I enjoy travelling, discovering new cultures, producing and mixing techno music, boxing, and photography.

Publications


Education & Experience


July 2025 - PRESENT

Founding AI Engineer

NexusAM

Founding AI Engineer at NexusAM


September 2020 - May 2025

PhD in Computer Vision

University of Bristol

Supervised by Professor Dima Damen and Dr Michael Wray

May 2023 - August 2023

Research Scientist Intern

Meta AI
October 2020 - November 2022

Teaching Assistant

University of Bristol
  • Applied Deep Learning
May 2019

Python/Machine Learning Tutor

Skienda

Tutor of a six-student class during a regional course for future Data Scientist set up by Skienda startup

September 2017 - April 2020

MSc in Data Science

Sapienza University of Rome

Supervised by Dr Aristidis Anagnostopoulos, Dr Danilo Avola and Mr Luigi Cinque

September 2010 - November 2016

BSc in Physics

Sapienza University of Rome

Supervised by Dr Paolo de Bernardis

Interests


Outside research and engineering, I enjoy discovering music, learning DJing and travelling. This space connects the sounds, artists and places that have shaped those experiences.

My music journey

The soundtrack of my life

My taste has evolved from rock and metal to electronic music and eventually towards the hypnotic, groovy, tribal and darker sides of techno. Today, I am learning DJing while continuing to discover new artists, venues and sounds.

01

Musical timeline

Select a chapter to explore the story, artists and sounds connected to it.

02

Favourite artist network

Choose an artist to see why their sound stands out and where I have seen them.

03

Playlists for different moments

Music for coding, training, travelling and practising behind the decks.

04

Techno map

Clubs and events I have visited, connected to artists and memories.

Travelling

Travelling is one of my favourite ways to keep learning. I enjoy discovering different cultures, food, architecture and ways of life—not simply collecting countries, but collecting experiences and new perspectives.

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Contact Me