Freelancer profile translated to English.

Description

You're looking for more than just an AI prototype: you want a solution that works, integrates into your environment, and delivers real business value.

As an AI Engineer, I design and develop end-to-end AI applications: business assistants, intelligent search engines, RAG pipelines, LLM-driven automations, data extraction tools, and custom AI APIs.

I get involved from the scoping phase through to deployment, with a results-oriented approach. My role is to transform a business need into a concrete, robust, and production-ready system.

What sets me apart: a dual expertise in advanced scientific research and applied software engineering. I bring both analytical rigor, the ability to tackle complex subjects, and a sense of pragmatic implementation.

I am particularly working on:

GenAI / LLM applications;

RAG and augmented document search;

Agents and multi-step workflows;

Business process automation;

Python / FastAPI backends;

Integration of databases, search engines, and cloud services.

Key technologies: Python, FastAPI, SQL, PostgreSQL, Docker, LangChain, LangGraph, GCP.

I prioritize projects where AI serves a clear purpose: better information exploitation, automation of operations, reliable workflows, or building an intelligent product useful to teams.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km), Lyon (up to 50km)

Proximus
Freelance AI engineer
TELECOMMUNICATIONS
September 2025 - March 2026 (5 months)
Bertrange, Luxembourg
Development of AI services in production to automate the analysis of legal and operational documents.

I designed document processing pipelines capable of handling heterogeneous files, including scanned documents with OCR, then extraction via LLM. I implemented agentic workflows with LangGraph to orchestrate multi-step processing, integrate Human-in-the-Loop, and ensure the reliability of document review processes.

The scope covered structured information extraction, comparison of contracts and technical documents, as well as the integration of these services into internal systems via Python backends.

I also contributed to the robustness and industrialization of the solution: retrieval optimization, output structuring, iterative validation with business users, Docker containerization, CI/CD, PostgreSQL, and deployment on GCP.

Technologies: Python, LangGraph, OCR, LLM, PostgreSQL, Docker, CI/CD, GCP
Python LLM / Generative AI Graph RAG GCP
Capgemini
Data Engineer
January 2024 - September 2025 (1 year and 8 months)
Lyon, France
Design of AI copilots to improve access to business knowledge at Sanofi Bioproduction.

I developed solutions combining RAG and knowledge graphs to enable business teams to query complex knowledge more effectively and benefit from contextualized answers. I led the Knowledge Graph & RAG Services stream, supervised two engineers, and defined the technical architecture for backend services, retrieval components, and associated workflows.

I also developed FastAPI services and Streamlit interfaces for LLM applications focused on operational use, in direct collaboration with end-users and stakeholders to refine needs and validate functionalities.

Technologies: Python, FastAPI, Streamlit, RAG, Knowledge Graph, LLM
Graph Python Data Engineer LLM RAG
Stmicroelectronics
Doctoral Researcher
RAW MATERIALS INDUSTRY
March 2020 - October 2023 (3 years and 7 months)
38920 Crolles, France
Development of advanced quantum models with industrial application at STMicroelectronics.

I worked on the design of theoretical and numerical models for the study of complex quantum systems, with results applied in an industrial context. This work led to 4 peer-reviewed scientific publications, representing over 100 citations.

I also provided 50 hours of university teaching in physics and presented my results at several international conferences in Boston, Paris, and Ghent.

This experience strengthened my skills in modeling, scientific computing, complex problem analysis, and technical communication.
Data Science Communication Project Management