Freelancer profile translated to English.

Description

I integrate generative AI into your daily tools — emails, documents, customer support — to automate what can be automated and free up your teams' time.

🎯 From diagnosis to production: I design, implement, and measure results.

🎓 PhD in AI (Grenoble) · Master's in Mathematics (Sorbonne) · HEC Paris

💼 5 years in applied AI: NLP, vision, time series — from POC to embedded

🔬 Specialty: Custom RAG systems and PyTorch model deployment in constrained environments

For demos, see my 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
Artificial Intelligence Computer Vision Quantization Embedded AI Research
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
Image Processing Computer Vision Artificial Intelligence Research Pytorch