Participated in the AWS Home Farming project: developed a prototype for data collection from a Raspberry Pi to AWS using FastAPI. Designed the CI/CD pipeline for th project. Explored AI solutions for the project and experimented with the segmentation model YOLOv11.
Conducted a research project including literature review, model design, and scientific paper writing, aiming to predict road traffic flow using graph neural networks.
Implemented a data collection, management, and monitoring edge device prototype for industrial sensor data using a Raspberry Pi and AWS.
Assisted in the creation of plaster statues made by entirely by hand.
A template for python applications including most of best practices needed.
A small utility package for Python, mostly for my personal projects.
My main portfolio built with Next.js, AWS Amplify UI and TypeScript. You are currently viewing it!
A fork of my python template, with basic setup for AI projects.
The first french formula student student team in the autonomous class. I was a member of the trajectory team where we developed a neural network that can predict the optimal trajectory for the car.
A template for LaTeX documents with basic setup for academic papers.
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