About Samuel
- Create an AI assistant connected to your internal data;
- Implement a reliable RAG with cited sources;
- Automate the analysis of documents, emails, tickets, or reports;
- Design AI agents capable of calling your APIs or business tools;
- Evaluate the benefit of fine-tuning or an open-source approach;
- Transform an AI prototype into a usable backend application.
French
Native or bilingual
English
Fluent
Experience
- Context RuntimeAI Tools Designer, LLM Agents & Backend OrchestrationSOFTWARE PUBLISHINGJanuary 2025 - Today (1 year and 7 months)Paris, FranceDesign and development of an AI Lab environment dedicated to experimentation, orchestration, and integration of AI agents into development and analysis workflows.The project aims to transform advanced AI uses into concrete tools: specialized assistants, task-oriented agents, prompt generation and review, code auditing, document analysis, workflow automation, and interaction with existing technical environments.Work performed:
- Design of an orchestration architecture for LLM agents;
- Creation of multi-agent workflows with specialized roles: implementer, reviewer, auditor, analysis assistant;
- Integration with development environments, project files, tickets, and backend tools;
- Structuring operational prompts to produce, audit, or validate technical deliverables;
- Experimentation with RAG, contextual analysis, and the use of local or remote models;
- Implementation of controlled flows to track decisions, validations, and outputs produced by agents;
- Work on the reliability, traceability, and industrialization of AI uses beyond simple prototyping.
This experience combines generative AI, LLM agents, business automation, and backend expertise to create truly usable AI tools in a professional context. - AGS CloudBackend EngineerJanuary 2023 - January 2026 (3 years)Montpellier, France• - Development of Node.js / NestJS microservices in a cloud environment• - Design of REST and GraphQL APIs for distributed systems• - Implementation of CI/CD pipelines and Kubernetes deployments• - Implementation of observability strategies: log structuring, request correlation (requestId), multi-service debugging improvement• - Log centralization (OpenSearch) and visualization (Grafana, Sentry) Result: significant improvement in diagnostic time and system visibility
- OlifidXML Feed AggregatorPRESS AND MEDIAJanuary 2019 - April 2019 (3 months)Creation of an XML feed aggregator API and content normalization into Elasticsearch, with on-the-fly content translation. Feed access is executed by the client via an authorization key.
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Education
- Programmer Analyst in Computer Science Applied to IndustryAFPA1996