Freelancer profile translated to English.

Description

I architect and deploy end-to-end AI systems — from business needs to deployment. I specialize in LLM and multi-agent architectures (RAG, agentic workflows, human-in-the-loop) and the surrounding data and integration platforms.

Doctorate in Complex Systems, 6+ years delivering at scale in energy, nuclear, and industry: multi-agent engineering workflows, nationwide digital twin (~2,000 electrical substations), and a human-in-the-loop LLM dataset generation program involving over 200 contributors.

I undertake architecture, industrialization (build-to-production), and fractional AI lead missions — where reliability and real-world constraints truly matter.

Languages

French
Native or bilingual
Arabic
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Assystem
AI Solutions Architect (LLM & Agentic Systems)
ENERGY AND UTILITIES
March 2026 - Today (3 months)
Lyon, France
Design and deployment of multi-agent AI systems for complex engineering workflows.
• Architecture of multi-agent systems (LangGraph) orchestrating end-to-end engineering tasks
• Design of LLM pipelines (RAG, human-in-the-loop) integrated with business systems and data
• Knowledge graph modeling (Neo4j) to structure agent data and reasoning
• Definition of architectures, data flows, and integration strategies
Tools: Python, LangGraph, Neo4j, LLM pipelines, Docker, Azure DevOps
GraphRAG LangGraph LLM
ASSYSTEM
Internship (Contract Suspended) — AI Specialization
July 2025 - March 2026 (8 months)
Internship with contract suspension, dedicated to stepping back and defining a clear direction: specialization in LLM and agentic AI systems. In-depth technology watch (LangGraph, RAG, knowledge graphs) and personal projects, in preparation for refocusing my activity on AI architecture.
Enedis
Product Owner — Simulation & Electrical Engineering Tools
September 2024 - July 2025 (10 months)
Courbevoie, France
Design and management of two simulation applications for electrical engineering studies and automated reporting.
• Functional and technical design of applications (Python, PowerFactory)
• Definition of application architecture and data flows
• Requirements gathering, stakeholder workshops, acceptance testing
• Monthly deliveries via an optimized backlog
Impact: automation of reporting and reduction of study times.