I have loved sharing knowledge from a very young age because, for me, the best way to learn is by teaching.
A picture of me pitching my project at the ELTE Informatikai Kai, University Budapest, HUNGARY July 2023.
MSc Cloud and Network Infrastructures • 2022 • Brittany, France
International Master Student • 2022 • Rennes, France
Summer Class, Erasmus+ (Scholarship) • 2023 • Budapest, Hungary
MSc Computer Science & AI(Scholarship) • 2020 • Cairo, Egypt
Jimmy is a visionary Chief of AI and External Professor at ESSEC Business School, actively shaping the future of deployed intelligence. As the Head of AI Projects at ESSEC Metalab, he leads a team of Ph.D. researchers in developing state-of-the-art Large Language Models (LLMs) applied to Finance, while managing and optimizing high-performance AI training infrastructures.
Concurrently serving as the Chief Technical Officer (CTO) at AZ+, Jimmy architects scalable microservices and leads the deployment of Madagascar's premier SuperApp, integrating AI Agents for advanced recommendation systems on Google Cloud Platform (GCP).
His engineering foundation was solidified at SERMA Safety & Security, where he pioneered computer vision models for hardware security and automated reverse engineering using LLMs. Jimmy holds a Master’s in Cloud Computing from Université de Rennes and has consistently demonstrated a commitment to sustainable, energy-efficient AI, as seen in his impactful research at IMT Atlantique.
From teaching Data & AI to international students to leading complex technical teams, Jimmy represents the next generation of AI leadership—bridging the gap between academic research, industrial application, and strategic innovation.
"Having zero background in Cybersecurity, I have learned the biggest lesson in life: nothing is out of reach if you sit and take the time to read from the beginning" - Jimmy.
A lightweight microservice-based on distributed machine text editor, this was a project from my Software engineering course, where we had to implement the best practices of software engineering and apply cloud infrastructure approach to the project.
This was is a personnal project I started to try many different Machine Learning libraries and packages, try their performances on different type of project and compare their accuracies. This project is still ongoing since the Machine learning domain is an ever evolving field, so I continuously train myself to follow the state of the art on many different technologies of Machine learning and Deep Learning (GAN, NLP, Supervised and Unsupervised learning, etc..)
This small project contains various concept and techniques of advanced statistics and Machine learning . This is a way for me to sharpen my quick understanding and my familiarization with data. It is still an ongoing project since it's a long way process to learn the theoritical part of Machine learning and data engineering, however I am a math lover so this is one of the fun part of my carrer.
As a computer Scientist, it's very crutial and highly important the contribution of knowing and understanting various algorithm to solve some specific problems. This project is dedicated for improving my problem solving skills, and train on various algorithm, it helps for me as well in preparing for technical interviews.