1st project: Development of a system for displaying critical deadlines for expert teams involved in satellite launches.2nd project: Development of a key application for process automation, enhancing operational efficiency in retrieving critical satellite telemetry data.- Project analysis and prototyping in direct collaboration with key users,- Weekly meetings with users to ensure compliance with requirements,- Backend development (Node.js and Express), - Frontend development (Angular.js), - Production deployment in a Linux environment, - Setup CI/CD pipelines (TeamCity), - Implementation and integration of SonarQube into the CI/CD pipeline to analyze and verify code quality, - Application monitoring (Grafana, Prometheus), - Log centralization (Loki).

Preparation of orders in various sectors (fresh, vegetables, frozen foods, etc.), delivery to customers' vehicles, cleaning of the premises, putting canceled orders back on the shelves, etc.

The goal of this internship was to design a program using Machine Learning to quickly detect the presence of toxins in food.The existing project, suffering from a poorly adapted user interface, required a complete overhaul.My main role was to develop a modern graphical interface and to streamline the connections with the Machine Learning server.