Freelancer profile translated to English.

Description

Senior AI Engineer (PhD) specialized in the industrialization of Generative AI and the design of multi-agent architectures. With hands-on experience in managing hyper-automation programs (5M+ flows/year) and deploying RAG banking chatbots for the general public (100% of clients and prospects), I combine scientific rigor with pragmatism to deliver scalable solutions. I am proficient in Cloud environments with strict security constraints, agentic frameworks (LangGraph, LangChain), and LLMOps practices. With a PhD in AI, I blend research expertise with production deployment in sensitive and regulated contexts.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Société Générale
Senior AI Engineer: Design of a Banking Chatbot - Multi-Agent Architecture
BANKING AND INSURANCE
April 2025 - Today (1 year and 2 months)
Fontenay-sous-Bois, France
Replacement of a rigid legacy chatbot with a modern generative AI solution, deployed to 100% of clients and prospects to fluidly handle all inquiries about banking products and services.

➤ Design of a Multi-Agent Architecture: Transition from a heavy linear processing system to a modular and flexible agentic architecture using the LangGraph framework.

➤ Creation of Specialized Agents: Development of a Supervisor agent responsible for intelligent request triage (identifying out-of-scope, chit-chat, or banking questions) to decongest the system, and a Banking Agent leveraging RAG (Retrieval-Augmented Generation) to provide factual, documented answers.

➤ Alignment of Model Behavior with Strict Banking Requirements: Striking the perfect balance between conversational empathy, conciseness, factual accuracy, and prioritizing self-service paths to reduce advisor workload.

➤ Industrialization and Performance: Deployment on a highly secure Azure cloud infrastructure, successfully supporting a load of 20 requests per minute in production and guaranteeing a 99% SLA.
NLP Generative AI Machine Learning Python Microsoft Azure
Société Générale
Senior AI/ML Engineer: Management of an Email Automation Program - Multi-Agent Architectures
BANKING AND INSURANCE
January 2023 - Today (3 years and 5 months)
Fontenay-sous-Bois, France
Expert consultant responsible for the technical and scientific management of a strategic national AI program (supported by the Directorate). End-to-end design and industrialization of complex architectures (LLM, Agentic AI) for large-scale automation of documentary and textual flows.

➤ Agentic Architecture & Hyper-automation: Deployment of an infrastructure orchestrating autonomous agents for contextual analysis and routing of 5 million emails per year, reducing operational costs by 40%.

➤ LLM Engineering (GenAI): Optimization and production deployment of language models (LLMs) for real-time semantic detection of critical emergencies (+70% responsiveness).

➤ IDP Pipelines: Design of Intelligent Document Processing pipelines leveraging generative AI for complex metadata extraction and autonomous routing to document management systems.
Python Machine Learning Artificial Intelligence Generative AI NLP
Catalina Marketing
Senior Data Scientist & ML Engineer
RETAIL (LARGE RETAILERS)
April 2021 - December 2022 (1 year and 8 months)
Boulogne-Billancourt, France
Expert consultant responsible for the strategic management of analytical infrastructure modernization (migration from SAS to Python). Technical support for teams and industrialization of Machine Learning pipelines for processing massive volumes of marketing data, reducing operational costs by 30%.

➤ Data Science & Modeling: Integration and optimization of predictive Machine Learning models in Python, increasing insight accuracy by 30% while ensuring perfect parity with historical results.

➤ Industrialization & ML Eng: Design and deployment of an end-to-end migration framework. Refactoring of complex algorithms to ensure scalability and efficiency of production processing on large volumes.

➤ Technical Lead & Software Eng (AI/ML Ops): Supporting team upskilling and establishing modern development practices (Git, unit tests, modularization) to secure the model lifecycle.
Python Machine Learning SQL Data Science Modeling