I’m an Artificial Intelligence engineering student at ENIB (École Nationale d'Ingénieurs de Brest), passionate about signal processing, computer vision, and building intelligent systems.
In my free time, I design and develop projects in various fields that interest me (AI, Data Science, software Engineering,...)
For example I have created a fatigue detector (FatiguEye) and AI powered application that recognizes emotions in the human speech (EmotionAI-Voice). I am currently developping an AI local assistant (Numa) and a reverse engineering AI tool for Printed Circuit Boards (PCB) (BoardMapper) with Florian Pasco.
On my GitHub you will find various projects using various technologies, probably mostly Data Science and Machine Learning but not only , as I am curious by nature and always looking forward to learning new technologies and acquiring new skills.
- 💻 AI & Machine Learning: Real-time models, voice AI, local-first systems
- 🎤 Speech Synthesis: Custom voice assistants, voice-to-voice pipelines
- 👁️ Computer Vision: Fatigue detection, facial analysis, eye tracking
- 🛡️ Cybersecurity: Deepfake detection, audio anti-spoofing
- And a lot more !
- Programming languages: Python, SQL, C, C++, Rust, Java, Bash,
- Libraries and Frameworks: Pytorch, OpenCV, Pandas, Numpy, Matplotlib, Seaborn, MLFlow, React, Django, Spring
- Databases: SQLite, MySQL, PostgreSQL
- Tools: Git, GitHub, GitLab, Jupyter, Postman, Trello, Taiga
- French (Native)
- English (Fluent)
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Numa
A fully local intelligent voice assistant combining speech recognition, open-source LLM, and expressive speech synthesis — all without cloud dependencies. -
FatiguEye
A fatigue detection app using computer vision to track eye blinks and micro-sleep indicators via webcam (EAR-based analysis). -
EmotionAI-Voice
A tool that detects emotions (stress, calm, anger...) from voice recordings using deep learning and a user-friendly interface.
