Freelancer profile translated to English.

Description

AI Engineer and PhD holder in Computer Science, I have 8 years of experience in designing and developing innovative AI-based solutions.

I specialize in the architecture and industrialization of AI solutions, transforming complex prototypes into scalable services. I have mastery of cutting-edge frameworks (LangGraph, LangChain, Keras, ...) and secure microservice orchestration. My technical spectrum covers critical areas such as securing RAG pipelines, time series, or fraud detection, while rigorously applying software engineering principles to ensure the quality and sustainability of deployed code.

I support data-driven projects throughout their entire lifecycle, from business needs to deployment.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Meudon (up to 50km)

UXCO
AI Engineer
November 2025 - December 2025 (1 month)
Responsibility.
• ● Python backend development: Design and development in Python of an orchestrated intelligent system (via Microsoft Agent Framework), coordinating a RAG Agent (querying enriched FAQs via Azure AI Search) and a Text-to-SQL Agent to democratize access to relational databases.
• ● Deployment: Use of Azure AI Foundry for the model lifecycle and deployment of the containerized solution on Azure Container Apps, ensuring a scalable and decoupled microservices architecture.
• ● Backend Development: Development and exposure of APIs for integrating agents into the existing application ecosystem.
Python Microsoft Azure AI Agents FastAPI Docker
AXA
AI Engineer.
January 2025 - October 2025 (10 months)
Within the AI Trust project, the objective was to industrialize and secure the deployment of Generative AI solutions (RAG) in production. The mission aimed to transform exploratory initiatives into robust services, compliant with the company's security requirements, by integrating automated control mechanisms.

Responsibility.
• ● Security Architecture (Guardrails): Design and implementation of an advanced validation layer for RAG pipelines. Development of validators to neutralize Prompt Injection risks, filter sensitive data (PII), and detect hallucinations in LLM-generated responses.
• ● Cloud & Serverless Industrialization: Integration and orchestration of validation modules within Azure Functions, ensuring a decoupled, scalable architecture that is easily integrated into existing processing chains.
• ● Monitoring Setup: Implementation of a comprehensive observability stack via Azure Monitor and OpenTelemetry. Configuration of custom log and metric reporting for real-time monitoring of latency, costs, and response quality.
• ● Automation and Testing: Development of scripts and a Web App for automated evaluation of model performance, enabling continuous improvement (Fine-tuning of prompts and parameters) based on objective metrics.
Microsoft Azure Python Retrieval-Augmented Generation (RAG) Guardrails Azure Functions
Enedis
Python Dev / AI Engineer.
June 2024 - October 2024 (4 months)
• ● Data collection and Labeling
• ● Development of an OCR solution for text extraction from documents
• ● Design and development of a model for Named Entity Recognition (NER)
• ● Deployment of the machine learning solution using Streamlit
Python Docker Machine learning