Architect & Engineer GenAI

Freelance, available for missions and collaborations

17 years in software engineering, including 7 years in B2B SaaS and 3 dedicated to applied GenAI: AI agents, RAG, multi-source ingestion. From business need to production.

Available to deliver a project autonomously or strengthen your team.

Let's discuss your project My background on LinkedIn

GenAI platforms

Built end to end, from scoping to production.

Gedia

Production

Intelligent document management and conversational agent over a document corpus.

~10 organizations using it

Lelia

Beta

French labor-law assistant: most-favorable search, automated monitoring (JORF/BOCC), verifiable citations.

Labor Code + ~245 collective agreements

Eurochef

Validated prototype

AI analysis of public tenders (specs & quantity surveys), matching & scoring against supplier catalogs.

8 cases · ~200 products · 15 suppliers

Backed by:

~150
production releases
~1,000
code reviews
6 years
leading 5–10 devs

Areas of expertise

Design and deployment of useful GenAI solutions, integrated into your information system, from scoping to production.

AI agents & automation

AI agents and workflow automation: tool and model orchestration, MCP integration. Responsible production: guardrails (forbidden actions, human-in-the-loop, restricted tool access), GDPR traceability, cost/latency monitoring.

RAG & context engineering

Hybrid search, re-ranking, agentic RAG, Text-to-SQL. Answers grounded in your own sources, traceable to the citation.

Multi-source ingestion pipelines

Ingestion (PDF, Excel, APIs, Web scraping, ...), extraction and structuring, qualification, indexing, verifiable citations and summaries. Turning your documents into usable data.

Industrialization & LLMOps

SaaS and cloud architecture, Kubernetes, evaluation and observability of AI pipelines. Plus AI in your software factory: code assistants, team adoption.

End to end

Full support, from the first scoping all the way to running in production.

1

Scoping

Identify high-impact use cases and success criteria.

2

Architecture

Design an architecture integrated into your information system.

3

Prototyping

Validate fast with a demonstrator on your own data.

4

Development

Industrialize the code, with tests and CI/CD.

5

Evaluation

Measure quality, cost and latency of the AI pipelines.

6

Deployment & observability

Ship to the cloud, monitor and operate.

Tech stack

AI / LLM

LlamaIndex LangChain LangGraph vLLM Hugging Face Qdrant Ragas LiteLLM Docling Mistral AI OpenAI Anthropic

Dev

Python TypeScript React Next.js Node.js FastAPI Celery

Infra & data

Docker Kubernetes Azure (AKS) Terraform GitLab CI/CD PostgreSQL MongoDB RabbitMQ Elasticsearch

A mission, a project, an idea?

Tell me about your needs, even in a few lines.

I'll get back to you within 24 hours.

Or book a slot directly: Schedule a call