I'm a French Engineering student at Enseeiht in Toulouse, France. I love science and have been particularly interested by astronomy for around 6 years now. I am specialised in Signal Processing and AI. I love to learn about new topics, especially when they are space related. My syllabus includes image processing, keeping me close to my astrophoto hobby. As a student, I use this account mostly to keep track of my coding projects starting from my second year out of three in engineering school. This Engineering diploma is equivalent to a Master in Engineering : it is done in 5 years, 2 in an intensive preparatory course, and 3 in an engineering school.

Check out my LinkedIn here,

Throughout my years at ENSEEIHT, I've had the occasion to work on several projects, whether they are club-related or not.

⚙️ Being specialised in Deep Learning, one of my most important project is Caisen. CAdastre Interface SENtinel is an environment monitoring project. Depending on the french Cadastre given two years, it fetches new buildings and builds a dataset of change detection sentinel 2 images to predict the impact of future buildings. Due to computationnal and time constraint the project has been done using CNN and not Diffusion models but remains an area of improvement for our project.
It has been one of the most complex and rewarding projects, and has mobilized nine students for a few months.

👁️ Other Projects I am proud of are : Kmeans segmentation in C using OpenCV and SuperPixel Segmentation in MATLAB Both projects aim at teaching us the basis of computer vision using segmentation.

📡 As a Signal Processing Major, I have had the occasion to work on several labs notably on GPS signals, Inverse problems, Computational Statistics, Deep Learning and such ... Projects can be found in my repos.

During the summer of 2024, I had the opportunity to travel to Kyoto, Japan. From june to August, I conducted an internship @ KUAS. This was an invaluable opportunity to strengthen skills I had already acquired at school and learn more about remote sensing and deep learning methods, notably using TensorFlow.

Up until September I will be working as an intern @ ISAE-SUPAERO in the DISC department. It focuses on uncertainty mesurement in the Earth Observation field using Generative AI (the good kind).

I contribute sporadically on the Immich repository and got into self-hosting this year.

This internship might evolve into a PhD opportunity.

ENSEEIHT allowed me to develop those skills particularly

One of the biggest projects I've had the occasion to work on is Churros as a member of @inp-net. With only basic HTML/CSS knowledge in september, I am now a full-stack developper on this project, having worked notably on the shop section of the app !

Special skills I developed for this project: