Freelancer profile translated to English.

Description

Passionate about artificial intelligence and Data Science, I support my clients from start to finish in the design, scoping, and deployment of robust and truly usable AI solutions in production.

My added value lies in my ability to deeply understand business needs, translate them into relevant AI architectures, and then implement performant and maintainable solutions. I provide both consulting (technological choices, feasibility, architecture, ROI) and operational implementation.

I master AI applied to production, notably:

Machine Learning & Deep Learning

Generative AI (LLM, RAG, agentic systems)

Orchestration with LangChain / LangGraph

Data pipelines and integration into existing environments

With my experience in R&D at NVIDIA and Capgemini Engineering, as well as startup missions, I have worked on high-tech value projects: realistic virtual simulations, intelligent decision support systems, complex signal analysis, and integration of AI models in demanding industrial contexts.

I place particular importance on the reliability, performance, and adoption of solutions, with a pragmatic, impact-oriented approach. I enjoy intervening where it is necessary to conceptualize the solution, make the right technical choices, and execute.

👉 Looking for a profile capable of bridging the gap between business, advanced AI, and operational deployment?

I am available to advise, design, and implement your AI and Data Science projects.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent
Spanish
Basic

Workplace preferences

Can work on-site

Paris (up to 10km)

Wingleet
ML/LLM engineer
AVIATION AND AEROSPACE
August 2025 - January 2026 (5 months)
Paris, France
Development of an information extraction pipeline from images of various formats, data formatting, and validation using LLMs.
OCR Vertex AI Mistral REST APIs React.js
Capgemini
Generative AI Researcher for Health
May 2025 - Today (1 year and 1 month)
Major contribution to a research project aimed at overcoming the lack of data for rare disease diagnosis using AI.
Development and validation of generative AI algorithms (GANs, VAEs, Diffusion, etc.) to synthesize realistic and relevant medical diagnostic data.
Collaboration with multidisciplinary teams to ensure the clinical relevance and validity of the generated data.
Generative AI Innovation Machine Learning
Capgemini
NVIDIA Smart City
CONSULTING AND AUDITS
October 2024 - February 2025 (4 months)
Participation in a research project for NVIDIA, focusing on the development of an advanced virtual city simulation. Implementation of machine learning algorithms to realistically and autonomously simulate urban traffic flows, individual movements, and interactive behaviors. Rigorous validation of physical and behavioral simulation models to ensure a high level of realism. Close collaboration with various teams to integrate and optimize these models within the virtual environment.
Machine Learning Simulation Optimization Carla simulator