$ whoami
Computer Science student · Lyon, France
$ cat interests.txt
Data Science · AI · Computer Vision · Space Technologies
$ ls projects/
ATLAS/ Pokémon-TCG/ Visual-Recognition/
$
Building intelligent systems, from camera-based recognition
to CubeSat health monitoring.
Always learning. Always building.
I am part of the Space Technologies department, contributing to data science, AI and robotics projects.
Data analysis, machine learning and Python workshops, collaborative projects, and talks with professionals across the data ecosystem.
A selection of projects across data,
vision, infrastructure and play.
DATA → DECISIONS ↗
A data processing pipeline for CubeSat health monitoring: validating telemetry, extracting health indicators, detecting anomalies, and producing explainable recommendations for human operators.
ATLAS — Détection d’anomalies satellites
A camera-based observation system that detects, identifies, locates and tracks cards in real time. Detections are linked to a database of 131,400 reference cards to generate game statistics and analysis.
TCG Scanner / Optical Card Recognition (OCR)
Real-time face and hand detection with 21-point hand skeletons, bounding boxes and confidence scores. A modular Python pipeline for live webcam and video input.
View Repo →A personal server for containerized media, networking and monitoring services. Hands-on Linux administration and infrastructure maintenance.
A factory-building strategy game with resource extraction, conveyors and shape processing. Custom engine with Factory and Observer design patterns.
View Repo →Led a team building a turn-based card game with PvP and AI opponents. Designed the architecture, card effects, turn logic and scoring.
View Repo →Building a foundation in software engineering, data and computer systems.
Tools and technologies across software development, AI, data and infrastructure.
Working across ideas, teams and cultures.
Proficient
Advanced
Have a project, an opportunity, or an interesting idea?
I’d love to hear about it.