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Mathieu CriloutMC

Mathieu Crilout

AI Expert | GenAI Python RAG

€600/day
1 project
Marseille, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Mathieu

💬 Do you have an ambitious AI/Machine Learning project and are looking for expert support?
I have been leading AI projects end-to-end for over **8 years**: from POC to production.
I act as a technical expert to design and deploy scalable, robust, and agile solutions, at the intersection of web, AI, SaaS, and data.

I will support you **end-to-end**: design, prototyping, integration, and production deployment with the platform of your choice: GCP/AWS/Make/n8n/Local.

🎯 My goal: transform your complex ideas into concrete, efficient, and maintainable applications.

My Services:

📆 Agile Management: Structured sprint management, AI/ML task prioritization, and short iterations to maximize value.
🔧 Tech & API Selection: Choosing the best models and integrations (LLMs API, Vector DBs, Pytorch, Tensorflow, Hugging Face, Fine-tuning, Cloud computing, etc...).
🛠 AI Project Foundations: Setting up standards: GitFlow, testing, linting, CI, code structuring for LLM/RAG.
☁️ Cloud Architecture: Deploying scalable pipelines (FastAPI, MLflow, Triton, Vertex AI, SageMaker) with IaC and CD.
📊 AI Monitoring: CI/CD tests, drift monitoring, and performance observability (latency, quality, RAG rate).

Expertise:

🧠 AI & LLMs: LLMs, Generative AI, RAG, MCP, LangChain, LlamaIndex, OpenRouter, Ollama, Hugging Face, Pinecone, Weaviate, FAISS, prompt engineering, fine-tuning, Pytorch, Tensorflow, deep learning, OCR.
🚀 Deployment & Orchestration: High-performance APIs (FastAPI, GraphQL via Strawberry), MLflow, automation via n8n and Make.
⚙️ DevOps & MLOps: CI/CD, Git, Docker.
☁️Cloud: AWS, GCP, Azure.
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Conversational

Can work on-site
Marseille (up to 50km)

Experience

  • ClausIA
    Malt logoOn Malt
    AI Expert / Consultant in Generative AI and LLMs
    LEGAL
    September 2025 - September 2025
    Marseille, France
    Assisted in framing and optimizing an LLM agent deployed locally with Ollama, without requiring internet access. My role involved analyzing technical constraints, designing a structured approach, and proposing the integration of a vector search engine based on FAISS to enhance the agent's retrieval and contextualization capabilities. I provided concrete recommendations to improve its behavior and optimize its performance. The mission concluded with a synthetic and operational deliverable, designed to guide the project's next steps.
    RAG LLM Langchain Prompt engineering Fine-tuning
  • Hex Machina
    Freelance AI Expert
    PRESS AND MEDIA
    April 2025 - Today (1 year and 4 months)
    Marseille, France
    Hex Machina — Creator of an autonomous AI newsletter
    Developed a modular system from scratch: scraping, enrichment, classification, publication
    Automatic generation of quality content (summaries, titles, trends)
    Multi-channel distribution: Beehiv, LinkedIn, X
    Saved +40 hours/month of monitoring for readers
    Hugging Face Langchain Gen AI LLM Google cloud
  • Matera
    Freelance AI Expert
    REAL ESTATE
    June 2025 - July 2025 (1 month)
    Paris, France
    Designed and deployed a personalized newsletter automation pipeline for the real estate market.
    Developed a FastAPI/Docker service on GCP integrating LangChain with Cloud SQL (Postgres) for client and article databases. Implemented a custom query builder (Gemini 2.5 + retriever on Weaviate) to associate articles with client profiles, with self-tests for groundedness and retry logic to ensure output quality. Orchestrated content generation via LangGraph (MCP compatible).
    Automated distribution via Make, Google Sheets, and email notifications.
    LLM Langchain MCP RAG Prompt engineering

Reviews

5.0

Out of 1 rating

BenjaminB

Benjamin

ClausIA

Reviewed on 9/16/2025

I contacted Mathieu to help me frame and improve the behavior of an LLM agent deployed locally, without internet access. From the first exchange, he understood the constraints of my environment, asked the right questions, and structured a very clear approach. The work session was of high quality, combining technical expertise, functional perspective, and concrete, directly usable recommendations. The deliverable provided after the session is precise, concise, and will clearly guide the next steps of the project. Beyond his skills in generative AI and agent structuring, Mathieu stands out for his seriousness, his teaching ability, and his capacity to propose context-adapted solutions. I highly recommend his support to anyone looking to implement robust and relevant LLM systems.

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Education

  • PhD in Deep Learning for
    Lip6 Laboratory
    2020
    PhD in Deep Learning for
  • Master's degree with Honours
    Sorbonne University
    2017
    Master's degree with Honours

Certifications

Skill set

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