Description

J'intègre l'IA générative dans vos outils du quotidien — emails, documents, support client — pour automatiser ce qui peut l'être et libérer du temps à vos équipes.

🎯 Du diagnostic à la mise en production : je conçois, j'implémente, je mesure les résultats.

🎓 Doctorat en IA (Grenoble) · Master Mathématiques (Sorbonne) · HEC Paris

💼 5 ans en IA appliquée : NLP, vision, séries temporelles — du POC à l'embarqué

🔬 Spécialité : systèmes RAG sur mesure et déploiement de modèles PyTorch en environnement contraint

Pour des démos, voir mon github : github.com/YMALOT

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Grenoble (up to 50km)

Commissariat à l'Énergie Atomique (CEA)
PhD Candidate
NANO-TECHNOLOGY
October 2022 - January 2026 (3 years and 3 months)
Grenoble, France
Leading French research organization focused on energy, technology, and innovation
• • Thesis on Algorithms for Edge Implementation
• • Reviewed literature on compression techniques for neural networks with a focus on quantization
• • Trained large-scale models on various tasks: Computer Vision, Language Processing, audio data
• • Compressed models 8 to 10 times without performance degradation, targeting embedded AI
• • Taught probability theory applied to Computer Science for 2nd year students at ENSIMAG
intelligence artificielle Computer Vision Quantization Embedded AI Recherche
Pollen Metrology
AI Scientist
NANO-TECHNOLOGY
November 2021 - October 2022 (11 months)
Grenoble, France
Company building AI solutions for metrology in high-performance materials
• • Developed one shot instance segmentation models applied to SEM images from industrial clients
• • Produced a bibliography and developed a dedicated library in PyTorch achieving 44% average precision and 55% average recall on one-shot detection tasks
Traitement d'image Computer Vision intelligence artificielle Recherche Pytorch