About Arthur
Backend & AI Engineer
- Operational RAG (vector DB or SQL) to transform a document base into a reliable response engine.
- Graph RAG (Neo4j) to explore causality chains or advanced business relationships.
- Specialized agents connected to your internal data: analysis, extraction, generation, decision-making.
- Integration of AI agents to meet specific business needs.
- Multi-format ingestion (PDF, DOCX, images…) with automated extraction/structuring.
- AI-oriented to feed RAG, agents, dashboards, or internal workflows.
- NestJS/Python microservices optimized for AI workloads.
- Vector databases (Chroma, Qdrant, Supabase, Neo4j)
French
Native or bilingual
English
Fluent
Experience
- Adalith.aiFullstack Developer | AI EngineerCIVIL ENGINEERINGOctober 2025 - Today (10 months)Annecy, France**Mission**:Development of Adalith.ai's application, dedicated to documentary and contractual analysis in the construction sector. Objective: automate the exploration of document masses, accelerate analysis, and provide immediate understanding of technical, contractual, and operational issues.**Achievements**:- Multi-format ingestion pipeline (PDF, scans, images, doc…) with data extraction, normalization, and structuring.- Implementation of a GraphRAG to model relationships, causalities, and dependencies between documents, events, and project stakeholders.- Generation of summaries, analyses, and contractual arguments, with traceability to sources.- Complete backend architecture: asynchronous processing, strict data isolation, document management, OVH object storage, robust orchestrations.- Complete frontend integration: monitoring of AI processes (progress, states, intermediate results) and display of documents, their extractions, and generated analyses.**Tech Stack**:NestJS, LangChain, Neo4j, VueJs, SQLite, Docker, Redis, RabbitMQ, OVH Bucket, MistralAI
- Moment.GreenFullstack Developer | AI EngineerENVIRONMENTALJanuary 2025 - April 2025 (3 months)Paris, France**Mission**: Design of the MVP for an AI-based GreenTech, designed to simplify and accelerate ESG evaluation of suppliers in purchasing processes.**Achievements**:
- RAG system contextualizing AI responses from internal documents.
- ESG Chatbot for querying and exploring provided documents.
- Complete management of suppliers, questionnaires, and associated documents.
- ESG Dashboard with synthetic indicators.
- Automated questionnaire analysis via OpenAI and Mistral, powered by RAG data.
**Tech Stack**: Symfony (API), Python/Flask (AI), VueJs, TailwindCSS, OpenAI, MistralAI, SQLite, ChromaDB - February - PatriarcheBackend DeveloperARCHITECTURE AND URBAN PLANNINGSeptember 2023 - December 2024 (1 year and 3 months)Aix-les-Bains, France**Mission**: Creation of an application suite for smart building management, facilitating the optimization of workspaces and the management of home automation equipment.**Achievements**:
- Design and development of 10+ backend services for space, home automation equipment, and user management.
- Synchronization of calendars and meeting rooms for 1000+ users via Microsoft API.
- User management from multiple authentication sources via Microsoft SSO and Lucca SIRH.
- Automation of home automation equipment management (lighting, heating, ventilation).
**Tech Stack**:- Microservices architecture orchestrated by Kubernetes
- Backend: Node.js with NestJS
- Communication: RabbitMQ, NATS
- Databases: MySQL, Redis
- AWS Services: Cognito, API Gateway, CloudFront, S3
- Tests: Jest, Supertest
- Monitoring: New Relic, SonarQube
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Education
- Digital Technology ArchitectÉcole 42 Paris