Final-year engineering student at ESILV in Paris (Diplôme d'Ingénieur, Data & AI, graduating 2027). I build ML and LLM systems, and I'm looking for a 6-month internship in machine learning or applied AI starting February 2027.
Selected work
| Project | What it is |
|---|---|
| Bitcoin causal factor investing | Causal discovery pipeline (PC, NOTEARS, PCMCI, DoWhy) that narrows 288 candidate Bitcoin return drivers to 10. Run with Ginjer AM. |
| Wikipedia KG + RAG pipeline | Crawling, NER and relation extraction, OWL ontology, Wikidata alignment, PyKEEN embeddings and a natural-language-to-SPARQL assistant. |
| MiaouFlow | Multi-agent orchestration for the Mistral Vibe CLI. Top 6 at Mistral AI's Paris hackathon. I built the live agent dashboard and the subagent communication harness. |
| Medical image retrieval | European Hackathon League Paris (Inria, Paris Brain Institute). 5th of 22 teams. |
| Python Maker Bot | Rust CLI that generates, lints and runs Python code with LLMs in a Docker sandbox. |
| ML foundations | Core ML and deep learning implemented from scratch in NumPy, tested against PyTorch. |
| GradePace | Trail-race pacing web app (React, TypeScript), runs fully in the browser. |
Experience
AI software engineer intern at Thales (Apr to Sep 2026), embedded aeronautics software. I built an LLM tool that reviews software requirements and suggests corrections, and rewrote a pull-request review bot (Python, Bitbucket, Jira, Jenkins). That code is internal.
Stack
Python, PyTorch, scikit-learn, pandas · LLMs, RAG · SQL · Rust, TypeScript · Docker, Git
Elsewhere
LinkedIn · Off the keyboard: trail running and bouldering.