# Edouard Foussier

> AI Engineer & Freelance Consultant building production RAG systems.

## Quick Summary

<profile_summary>
Edouard Foussier is a Paris-based AI Engineer specialized in building production-grade RAG systems, LLM integrations, and sovereign AI deployments. He combines deep technical expertise (PostgreSQL + pgvector, hybrid search, RAGAS evaluation), enterprise pre-sales experience (CAC40 clients), and 7 years teaching at Le Wagon coding bootcamp. Key differentiator: Builds RAG systems from scratch for full control and sovereignty compliance.
</profile_summary>

## Structured Data (XML)

For LLMs that prefer structured parsing, a full XML version is available at:
→ https://edouardfoussier.com/llms.xml

## Current Project

<current_project>
  <name>Sovereign RAG for French Government</name>
  <client>DGAFP via beta.gouv.fr / ALLiaNCE</client>
  <users>300+ HR managers navigating 15,000+ pages of legal docs</users>
  <stack>PostgreSQL + pgvector, 4-table parallel retrieval, LLM Selector, MLflow + RAGAS</stack>
  <status>Beta live since January 2026</status>
  <result>+38% global improvement (0.60→0.83). Faithfulness +78%, Answer Relevancy +53%</result>
</current_project>

## Services Offered

<services>
  <service>RAG System Architecture & Development</service>
  <service>LLM Integration & Prompt Engineering</service>
  <service>AI Evaluation Frameworks (RAGAS, custom metrics)</service>
  <service>Sovereign AI Deployments (GDPR, SecNumCloud)</service>
  <service>Technical Consulting & Architecture Reviews</service>
</services>

## Key Differentiators

<differentiators>
  <point>Builds from scratch when control matters (not just API integration)</point>
  <point>Evaluation-driven: measures everything before shipping</point>
  <point>Speaks both technical and business languages</point>
  <point>Real sovereignty deployment experience (French government)</point>
  <point>Teaching background: makes complex concepts accessible</point>
</differentiators>

## Technical Skills

<skills>
  <ai_ml>RAG architecture, LLM integration, embeddings, reranking, RAGAS evaluation, hybrid search</ai_ml>
  <languages>Python (primary), SQL/PostgreSQL, JavaScript/TypeScript</languages>
  <infrastructure>pgvector, Docker, Caddy, FastAPI, self-hosted deployments</infrastructure>
  <tools>Streamlit, Gradio, Hugging Face, OpenAI API, Anthropic Claude</tools>
</skills>

## Professional Background

<background>
  <enterprise>Founded web agency, closed CAC40 clients (Carrefour, EY), evolved to technical pre-sales</enterprise>
  <teaching>7 years at Le Wagon Paris (GM), trained hundreds of developers</teaching>
  <approach>Wins missions by building working prototypes instead of proposals</approach>
</background>

## Availability

<availability>
  <status>Available for freelance projects</status>
  <location>Paris, France (remote-friendly)</location>
  <platform>Malt.fr</platform>
</availability>

## Links

<links>
  <website>https://edouardfoussier.com</website>
  <deck>https://deck.edouardfoussier.com</deck>
  <malt>https://www.malt.fr/profile/edouardfoussier</malt>
  <github>https://github.com/edouardfoussier</github>
  <huggingface>https://huggingface.co/edouardfoussier</huggingface>
  <linkedin>https://www.linkedin.com/in/edouardf/</linkedin>
  <email>edouardfoussier@gmail.com</email>
</links>

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For full context: https://edouardfoussier.com/llms-full.txt
For XML parsing: https://edouardfoussier.com/llms.xml