# Léo Duquenne — AI Engineer

> AI Engineer working at the intersection of artificial intelligence and space. Currently AI Engineer Consultant at ESA (European Space Agency) and AI Engineer Intern at OHB (October 2026 – January 2027). Engineering student at Centrale Lille (IG2I), specialising in Data Science and AI. Focus: LLMs, RAG, fine-tuning, deep learning, computer vision and data engineering.

This file is the plain-text, machine-readable version of https://leoduquenne.fr for AI assistants and crawlers. The website itself is an immersive 3D experience; everything important is restated here.

## Contact

- Email: leo.duquenne1@gmail.com
- LinkedIn: https://www.linkedin.com/in/leoduquenne/
- GitHub: https://github.com/LeoD-h
- CV (EN, PDF): https://leoduquenne.fr/assets/cv_en_1770051106922.pdf
- CV (FR, PDF): https://leoduquenne.fr/assets/cv_fr_1770051111682.pdf

## Experience

- **AI Engineer Intern — OHB** (October 2026 – January 2027). AI engineering internship at OHB, European space group. Python, LLMs, deep learning.
- **AI Engineer Consultant — ESA, European Space Agency** (2026 – present). LLMs, RAG and AI integration into mission workflows. Python, LLM, RAG, fine-tuning.
- **Engineering Intern — ESA, European Space Agency** (2025 – 2026, Netherlands). Modelling and data engineering. Python, SQL, Three.js, data science.
- **Data Engineering Intern — The Infotrust** (April 2025 – August 2025, Lithuania). Data integration solutions with Change Data Capture (CDC), proofs of concept, requirements gathering with clients in a multicultural English-speaking team. SQL, Python, Qlik Talend, AWS, Snowflake.
- **Website Development (project manager) — Ecole Musique Lestrem** (2024 – 2025, France). Team-built client website in React, TypeScript, MySQL and PHP; planning, deadlines and client communication.

## Education

- **Centrale Lille (IG2I)** — Engineering degree in IT and Industry, 2023 – 2028. Specialisation in Data Science and Artificial Intelligence.
- **Saint-Dominique High School** — French Baccalaureate, 2021 – 2023. Mathematics, Physics and Computer Science; graduated with honours.

## Skills

- Generative AI: LLMs, RAG, fine-tuning (LoRA), Hugging Face, LangChain, vector databases, prompt engineering, AI agents
- Machine learning / deep learning: Python, PyTorch, TensorFlow, YOLO, OpenCV
- Data: SQL, Snowflake, Qlik, Talend, Pandas, NumPy
- DevOps / cloud: AWS, Git

## Projects

- [Autonomous Vehicle Control using Computer Vision and YOLO](https://github.com/LeoD-h/New-Driver) (2025): contactless driving — facial expressions and object orientation (YOLOv8, MediaPipe) mapped to real-time vehicle commands, with a gaze-tracking dead man's switch; custom 300+ image dataset.
- [Galaxy Morphology Classification via Deep Learning](https://github.com/LeoD-h/Spatial) (2025): CNN classifying spiral vs. elliptical galaxies from astronomical imagery.
- [Brain-Computer Interface: Deep Learning EEG Classification](https://github.com/LeoD-h/Project-BCI-EEG) (2025): decoding EEG signals of imagined hand movements in real time (PyTorch, TensorFlow, ONNX, MNE-Python).
- End-to-End Data Pipeline (2025): real-time CDC pipeline with Talend into Snowflake, Linux provisioning, OpenFlow on AWS, Qlik Cloud visualisation.