Théo Maad

My name is Théo, I am an AI & Data Science Engineer specialising in Generative AI, Knowledge Graph and RAG architectures, helping companies design and deploy high-impact AI solutions, from proof of concept to production.

I am currently.

I am currently developing Holograph, a next-generation GraphRAG platform designed for organisations that need to leverage complex knowledge based (documents, structured data and knowledge graphs) through reliable, explainable, and scalable AI assistants.

What I deliver

- Design and implementation of RAG/GraphRAG architectures

- Integration of LLMs into secure entreprise environments

- Development of domain-specific AU chatbots (Knowledge management, décision support, internal tools)

- LLMOps / MLOps pipelines for industrial-grade AI systems

- Deployment of robust AI APIs

Technical expertise

- Generative AI & NLP : LLMs, RAG, GraphRAG, agentic systems, LangGraph, LlamaIndex

- Data & ML : Python, Scikit-learn, TensorFlow, PyTorch

- Databases : Neo4j, PostgreSQL, MongoDB

- Cloud & Infrastructure : GCP, Azure, Docker, Kubernetes, FastAPI

- Production & Ops : CI/CD, MLOps, scalable cloud deployments, frontend (React)

Experience 🚀

I have worked on real-world AI projects across insurance, healthcare, and cybersecurity, including :

- Production RAG / GraphRAG chatbots

- Real-time ML pipelines

- AI Agents systems with protocols (MCP, A2A, memory gestion)

Why would you want to work with me

- Strong product & business-oriented mindset

- Ability to move from idea to production

- Clear communication with both technical and non-technical stakeholders

Best fit for: companies, startups, scale up, deep tech and innovation teams looking to deploy Generative AI and Graph-based knowledge systems in production.