Freelancer profile translated to English.
Back to original languageAbout Arthur
Specialist in multi-agent systems, I design advanced architectures where multiple LLMs collaborate effectively to solve complex business problems. Unlike traditional automation solutions, my systems fully leverage the combined power of orchestrated intelligent agents, capable of reasoning, communicating, and dynamically interacting with your IS and your business teams.
🔷 Advanced Multi-Agent Architecture
I create scalable systems based on LangGraph. Each agent has a precise role, adaptive memory, and clear interaction logic, ensuring consistency, reliability, and performance optimization.
🔷 Deep Integration with IS
My agents communicate naturally with your databases, APIs, and existing systems, ensuring smooth and rapid integration into your IT infrastructure. This guarantees relevant interaction with your real business processes, far beyond simple automated scripts.
🔷 RAG & Model Context Protocol
I effectively combine hybrid RAG architectures (vector + graph) with an advanced contextual protocol (MCP), enabling agents to generate precise and contextualized responses from structured or unstructured internal information.
🔷 Containerized CI/CD & Agile Deployment
Thanks to optimized CI/CD pipelines (Docker, Kubernetes, GitHub Actions), I rapidly and securely deploy robust, perfectly maintainable, and scalable solutions in a production environment.
🔷 Generative UI & User Experience
In addition, I offer modern generative interfaces (Next.js, React, Shadcn, Tailwind), providing users with an intuitive and rich experience, facilitating rapid adoption of the developed solutions.
🔷 Quick POC & Team Training
I deliver operational proofs of concept in a few days and train your internal teams to ensure their technical and strategic autonomy.
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- MimorianHead AI & DataRAW MATERIALS INDUSTRYJanuary 2023 - Today (3 years and 5 months)Lyon, FranceDesign of a multi-agent AI solution for the diagnosis and troubleshooting of complex industrial equipment.Use of LangChain, LangGraph to orchestrate agents, their contextual memory, and their reasoning cycles.Integration of a hybrid RAG architecture combining a graph database (Neo4j) and a vector store for structured and semantic access to machine knowledge.Fine modeling of industrial equipment via a graph-oriented data model, interconnecting components, functions, incidents, and maintenance plans.Implementation of a CI/CD pipeline with Docker, GitHub Actions, and Poetry, ensuring rapid deployment and reproducibility.Containerization of each agent and service via Docker Compose, facilitating scalability and task isolation.Monitoring of performance and inter-agent exchanges using an observability module (traces, metrics, logs).Addition of automatic feedback loops with agent critique (self-evaluation) to ensure reliability of production suggestions.Objective: reduction of downtime, capitalization of field knowledge, and reasoned automation of troubleshooting.
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Education
- Engineer in Artificial Intelligence and Image ProcessingTelecom Saint Etienne2020Diplômé en ingénierie avec une spécialisation en Intelligence Artificielle et traitement de l'image, j'ai développé une expertise approfondie dans les algorithmes avancés et les mathématiques appliquées aux hypercubes. Cette formation m'a permis de maîtriser les techniques de modélisation et d'analyse des données complexes, en particulier dans des environnements multidimensionnels, ouvrant la voie à des solutions d'IA performantes et innovantes.