ML Engineer Intern at Apple
Moved to California for the integration of LLMs into Apple's ecosystem.
End-of-study Project at Thales
Research project in Natural Language Processing focused on ontology learning and population. Working on developing innovative approaches to automatically extract domain-specific knowledge from unstructured text and populate ontologies. The project aims to enhance information extraction capabilities in specialized technical domains while maintaining semantic accuracy and relationships between concepts.
PPAI Hackathon by Hugging Face, Zama & EF
Participated in the Privacy-Preserving AI Hackathon with the same successful team from the MistralAI competition. We developed ZAuth, an innovative authentication system leveraging Fully Homomorphic Encryption and face recognition. Our solution ensures complete privacy protection by keeping sensitive data (model weights and user embeddings) encrypted throughout the entire computation process, while implementing on-device image encoding and safeguards against reverse engineering attacks.
Project link: GitHub
Third Prize at Mistral AI Hackathon
Pre-selected to participate in France's largest hackathon organized by Mistral AI and Cerebral Valley, following our victory at IADataHack. Competed alongside participants from top-tier companies like Hugging Face and NVIDIA. Working with a team of talented individuals, we developed a platform for creating specialized lightweight language models using RL post-training (Direct Preference Optimization). The project earned us 3rd place among 250 pre-selected participants.
Project links: Devpost | GitHub | Event Coverage | Event Highlights
First Prize at IADataHack
After 3 months of AI/NLP courses I participate with 5 others student from my classes in the IADataHack hackathon organized by the Ministry of French Armed Forces. We won the 1st prize and it began my "addiction" to hackathons.
SWE Intern at DNCA Finance
This was my first professional experience in computer science. At the time, my dream was to work in finance, so I joined DNCA, a management company with €30 billion in assets under management. As the sole developer on the team, I successfully created several tools to help manage the vast amount of data. Additionally, I developed multiple APIs to streamline data management processes.
Master's in Computer Science at EPITA with a specialization in Cognitive Science and Artificial Intelligence. During the first three years, I built a strong foundation in advanced mathematics and core computer science principles. In my final year, I pursued the more selective major in Artificial Intelligence and Cognitive Science, deepening my expertise in AI techniques and cognitive computing with a focus on NLP.