Passionate engineering student at Centrale Lyon currently on a gap year, with hands-on experience in AI, machine learning, and full-stack development. Developed innovative solutions in computer vision and mobile applications at Gentle Mates. Currently seeking opportunities in Data Science and AI.
Designed and enhanced innovative internal Tech Tools leveraging web and mobile technologies, computer vision, and AI to optimize internal processes.
Co-initiated AI-powered smart waste-sorting solution from academic project to award-winning startup. Developed full-stack web platform with PostgreSQL database and implemented RESTful APIs with WebSockets for IoT integration.
Developed an automated social media analytics dashboard using Streamlit and Python, implementing computer vision (YOLO) and OCR to detect sponsor mentions and improve partnership ROI tracking.
Built a cross-platform mobile app in React Native integrating Valorant and Fortnite APIs for real-time player analytics, enabling data-driven coaching decisions.
Developed a web application for customizing M8 esports jerseys by adding player names and numbers to PDF templates. Features real-time preview, individual/bulk processing via CSV upload, Google Drive integration, and high-resolution export capabilities.
Built sentiment analysis model using CamemBERT achieving 95.91% accuracy on French movie reviews. Researched transformer architectures and attention mechanisms.
Implemented ant colony optimization algorithm for shortest path problem. Developed interactive visualization with Tkinter displaying real-time pathfinding.
View on GitHubThis project is a C++ 2048 clone built with Qt and QML. It faithfully reproduces the original gameplay without ads and adds extra features for a better user experience.
View on GitHubDeveloped LightGBM survival model achieving 0.7745 IPCW-C-index for leukemia patient risk stratification. Applied advanced feature engineering on genomic and clinical datasets.
