Freelancer profile translated to English.

Description

AI & Automation Engineerwith over 15 years of experience (computer science engineer by training, ex-backend dev and infrastructure project manager).

I design, develop, and deployAI agents, RAG pipelines, and automation workflowsin production for concrete business use cases — not POCs that gather dust.

I even designed and launched my ownGenAI SaaS product(SEO AI Systems, ~450 users), giving me a complete view of the cycle: from prototype to industrialization, including monitoring, cost optimization, and reliability.

I master a wide range of technologies to meet all **applied AI needs**:

LLMs & GenAI: Claude (Anthropic), GPT-4 (OpenAI), Mistral, Gemini, Llama
Agents & Orchestration: LangChain, LangGraph, CrewAI, AutoGen, multi-agents, tool calling
RAG & Vector Databases: Pinecone, Weaviate, Qdrant, ChromaDB, Supabase
Automation: n8n, Make, Zapier, MCP (Model Context Protocol), webhooks, API integrations
Back-end & APIs: Python (FastAPI, Django, Flask), Node.js, SQL, MongoDB, Firebase
Cloud & DevOps: Docker, CI/CD (GitLab, GitHub Actions), AWS, GCP, Azure, Vercel

I work on various projects:

**AI Agents in Production**: Business assistants, complex task automation, agents connected to existing systems (CRM, data, internal tools)
**RAG Pipelines**: Querying proprietary data in natural language (documentation, knowledge base, support)
**Workflow Automation**: Orchestrating code / n8n/Make to make business processes reliable and scalable
**GenAI SaaS Platforms**: Scalable, secure, and maintainable architecture

Explain your needs, and I'll be happy to meet them.

See you in the messaging.

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km), Nice (up to 50km)

Decupler
AI & Automation Engineer — Agent Builder
January 2022 - Today (4 years and 5 months)
Design and deployment of AI agents in production: LLM orchestration (Claude, GPT-4, Mistral) with LangChain / LangGraph / CrewAI, multi-agents, tool calling, and guardrails.
Architecture of RAG pipelines on vector DBs (Pinecone, ChromaDB, Supabase) for querying proprietary data in natural language.
End-to-end GenAI SaaS product creation (SEO AI Systems) — Vite/React/Node/Firebase stack, deployed on Vercel, ~450 users.
MCP (Model Context Protocol) and custom server integrations; implementation of Claude Code and AI infrastructure for non-technical teams.
n8n / Make automation workflows: webhooks, JSON transformation, enrichment, API connections (Slack, Gmail, CRM).
LLMOps: prompt engineering, token/cost optimization, fallbacks, monitoring, and evaluation (quality, hallucination reduction).
Major clients: Decathlon, Société Générale, Le Point, Pluxee. Speaker E-Commerce Warsaw Expo 2026 (AI & AI Search).
Artificial Intelligence Generative AI AI Automation AI Agent
Decathlon travel
SEO & Automation / Data Consultant
February 2019 - January 2022 (2 years and 11 months)
Automation of data pipelines in Python via APIs (Semrush, GSC): extraction, reporting, scoring —
−30% operational time.
Large-scale content strategies (programmatic, semantic clustering) and structured data
(JSON-LD).
Design of briefs and programmatic content aligned with search intent — +25% organic
traffic.
Management of content + dev teams for the execution of technical roadmaps
Generative AI RAG AI Agent AI Automation
Société Générale
IT Infrastructure / Cloud Project Manager
BANKING AND INSURANCE
January 2015 - January 2021 (6 years)
Management of large-scale cloud infrastructure projects (AWS, Azure): scoping, delivery, budgets,
migration, and cost optimization.
Deployment automation (Jenkins, Python) and management of multidisciplinary teams.
Management of the full infra project lifecycle (requirements gathering → production deployment), meeting
deadlines and budgets.
AI Automation Generative AI Artificial Intelligence AI Agent RAG