I'm a French MSc student in Aeraunotics and Space, specializing in Embedded Systems at ISAE-ENSMA.

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Compilation of the profiling tools and Linux commands that I frequently use: tools 🛠️.

A simple C++ Apple Metal 3D engine based on a Model-View-Controller pattern.

A fast C USB streamer for the Ricoh Theta (a 360° camera) to enable machine vision during the French Robotics Cup. This includes converting the frames to a known format and apply a projection to face the distortions as it is a 360° camera.

GSL is a Python library to fully use Garmin devices without relying on Garmin servers. GSL is heavily based on Garmin Express (GE), a Windows and macOS software provided by Garmin that allows you to update, sync, and register your devices. GE is an old software with no significant obfuscation or high-security protections, which is the reason why I reverse-engineered it instead of another Garmin application.

Pure C++ library for a machine learning technique designed to evolve artificial neural networks. PNEATM offers several advantages such as handling various data types, supporting multiple data types simultaneously, utilizing multiple activation functions, dynamically evolving activation functions, and accessing previous processed data.

Code for the Ensmasteel's robot which will be competing in the French Robotics Cup during the 2024 session.

Dependency-free websites in pure html/css/js.
My Portfolio
Ensma Space Project's website: for the Space Projects's association of the ISAE-ENSMA.
ISAE-ENSMA Gala 2024's website: for the 2024 gala/graduation ceremony of the ISAE-ENSMA.

Basic versatile C library for distributed computing with dedicated os. Distributed computing refers to a network of computers working together to solve a problem or complete a task, instead of a single computer handling all the processing. The workload is divided among multiple machines, allowing for faster and more efficient processing.

C++ library for evolving neural networks with NEAT. NEAT is a machine learning technique used to evolve artificial neural networks. This algorithm is often used for complex tasks such as game playing and robotics, where traditional hand-designed neural networks may not be effective.