Yann Le Mat

Development and maintenance of iOS and Android mobile applications in React Native and TypeScript. Participation in the design of new features, REST API integration, application state management, performance optimization, and user experience improvement. Collaboration with product, design, and back-end teams in an agile environment, with a high level of requirement for code quality, security, and maintainability.

An interactive software developed in Python for Windows, combining gaming and scientific evaluation to make muscle testing more accessible and motivating, especially for children with SMA (Spinal Muscular Atrophy) and ASI (Spinal Muscular Atrophy).

2D Game with Avatar Selection: Users choose their avatar and perform fun actions like eating objects (bones, bananas, etc.) to represent muscle contractions. The game is designed to make strength tests more engaging.

QIF test (quadriceps-intermittent-fatigue): The software offers an incremental test where users must contract their muscles at different intensity levels (10%, 20%, 30%, etc.). Each force level is represented by a specific action in the game.

Two distinct interfaces:

Player Interface: Main view with the 2D game, fun and immersive.

Experimenter Interface: Management mode with:

A MVC (Maximum Voluntary Contraction) mode to calibrate force levels.

Demo and game modes to supervise sessions.

A dashboard displaying parameters and test progress in real-time.

User Management: Experimenters can add and manage participant profiles, with local data backup in a SQLite3 database.

Scientific Study: This software is specifically designed for a study on the evaluation of muscle strength in children with SMA (Spinal Muscular Atrophy) and ASI (Spinal Muscular Atrophy).

This project illustrates the successful integration of technology and gamification to meet specific scientific and medical needs.

A fun and scientific software, designed to evaluate muscle strength in children through an interactive game, transforming clinical tests into engaging experiences.

I developed AYEDN, a revolutionary mobile application dedicated to the world of barbers and discerning clients looking to find a professional matching their style. AYEDN features a dual interface: one for individuals seeking a barber and one for professionals managing their business.

For clients, AYEDN offers a personalized recommendation system based on geolocation and preferences, as well as precise filters (skills, prices, availability, etc.). Users can view barber profiles, check reviews, and directly book appointments.

For barbers, AYEDN is a comprehensive management tool allowing them to track their schedule in real-time, organize their time, manage their services, and increase their visibility through a richly detailed profile.

I led the project from start to finish, handling front-end (React Native) and back-end (Flask, Python) development, as well as configuring a MySQL database. I also managed the repositories on the Apple and Google Play platforms.