Benjamin | Next.js Portfolio

About Me

I am currently a first-year engineering student specializing in software development, completing my studies through an apprenticeship program (work-study arrangement) at Numih France, a software company specialized in healthcare solutions.
I am passionate about software development and system administration, and have developed skills in Java, Python, C, and JavaScript/TypeScript. I also work with tools such as Docker, Podman, and Git, as well as frameworks like Next.js and TailwindCSS. Additionally, I have hands-on experience in server configuration and database management.

Projects I worked on

GameList

This project is a web application built with Next.js that provides an interactive interface for displaying information about video games using the RAWG API. Users can search for games, view detailed information, and download games directly from the server.

React

Next.js

TailwindCSS

Docker

JavaScript

Bagarre.io

Bagarre.io is an Agar.io-like game developed in JavaScript. The game is a real-time multiplayer game where players can fight to become the biggest player.

JavaScript

Node.js

Socket.io

QGChat

QGChat is a web application that allows users to create and manage discussion threads with one or more participants. Each user can post and read messages in these threads. The application follows an MVC architecture in JEE, with a responsive interface compatible with both desktop and mobile.

Java

JEE

MVC

Tomcat

JavaScript

HomeLab

My homeLab is my domestic server that hosts various services such as a JellyFin instance, a Gitea instance, a Pi-hole instance, and this portfolio! The server runs Unraid as the host OS and uses docker for containerization.

Unraid

Docker

Linux

Self-hosting

This portfolio

This portfolio is a Next.js application that showcases my projects and skills. It is built with TypeScript, TailwindCSS, and uses a custom design system. The site is fully responsive and optimized for performance.

React

Next.js

TailwindCSS

TypeScript

Classification-K-NN

In this project, we developed a 2D data visualization application, offering features such as K-NN classification, robustness testing, and predictions. The application was implemented according to the MVC model in Java, using the JavaFX graphical library.

Java

JavaFX

MVC

Hi, I'm Benjamin RogetBenjamin Roget

About Me

See my projects

Engineering degree in Software Development

Associate's Degree in Computer Science

intensive one-year study course (Classe Préparatoire)

Baccalauréat with a specialization in Mathematics and Computer Science

Projects I worked on