AI Consultant · Data Scientist · Applied Researcher
Alexandre Hennequin
I design and build LLM-based systems, RAG pipelines, and data platforms for clients who need production-grade AI — not demos. Trained in research methodology through a PhD in cognitive science (CNRS), I bring rigorous evaluation and experimental design to every engagement.
Independent AI & Data Science consultant. I help organizations ship LLM applications, retrieval systems, and data pipelines that are reliable, measurable, and cost-conscious. Comfortable from empty repo to production deployment: data engineering, embedding pipelines, vector search, LLM application architecture, and the observability that keeps them honest.
Marseille, France — working remotely
Focus areas
AI / LLM
- RAG systems
- Prompt engineering
- LLM agents
- Evaluation
- Retrieval optimization
Data / ML
- Python
- Pandas / Polars
- Scikit-learn
- Pytorch / TensorFlow
- Evaluation & metrics
- Experimentation (MLFlow)
Data Engineering
- Airflow
- SQL
- ETL/ELT
- Quality monitoring
Research & Methodology
- Experimental design
- Rigorous evaluation methodology
- Statistical analysis
- Peer-reviewed research
- PhD in cognitive science
Selected projects
all projects →Personal project · 2026
Children's Story Generation App (LLM → TTS)
A mobile app that generates original children's stories from a conversational prompt, read aloud with high-quality text-to-speech.
Real-estate client (France) · 2025
Real-Estate RAG Assistant & Chatbot
A RAG-powered assistant and chatbot that answers questions from real-estate documents with citation-backed responses.
Corporate client (France) · 2025
RAG Chatbot That Drafts Word Documents
A RAG chatbot that answers questions from a document corpus and helps users draft structured Word documents from retrieved content.