Second-year Computer Science student at EPITA with a passion for Full-Stack Software Engineering. I enjoy designing scalable architectures, building secure backend services, developing modern web applications, and exploring new technologies. My projects focus on clean code, maintainability, and performance. Currently seeking a Full-Stack Software Engineering Internship (July–August 2026) to contribute to meaningful products while continuing to grow as an engineer.

My primary interests are backend engineering, distributed systems, software architecture, cloud computing, and operational security. I enjoy understanding how systems are designed, how services communicate at scale, and how engineering decisions impact performance, reliability, and maintainability.

I also have a growing interest in machine learning, particularly model training and deployment. Through academic projects, I have trained TensorFlow models and integrated them into production-like applications, gaining practical experience in the end-to-end machine learning workflow - from model development to deployment within software systems.

November 2024 - November 2025

• Adaptive algorithmic thinking for complex mathematical and programming problems.
• Solving problems under time pressure competing with 50 other participants.
• Networking with Stockly professionals and promising students from other Parisian universities.

June 2026

• Discovering Agentic AI development under time pressure.
• Collaboration and work management with other group members.
• Explore and optimize usage of MuleRun AI Agents to develop a web application.
• Learn how to use Scaleway hosting service for our product.

Developed a distributed gamer social platform based on a microservices architecture. Designed and implemented independent services for authentication, user management, game library management, activity tracking, notifications, and GDPR-compliant logging. Built a FastAPI API Gateway with JWT authentication, asynchronous inter-service communication using RabbitMQ, and centralized request tracing. Containerized the complete application with Docker and Docker Compose, applying modern software engineering practices including event-driven architecture, service isolation, and scalable API design.

Python, FastAPI, PostgreSQL, SQLite, RabbitMQ, Redis, Docker, Docker Compose, JWT, Node.js.

Developed the post management module of a text-focused social media platform, implementing RESTful routes, business logic, and database queries for creating, retrieving, updating, and searching user posts. Designed and implemented a graph-based recommendation system in Neo4j to suggest relevant users and content based on social relationships. Reduced database load and improved recommendation response times by implementing Redis-based query caching. Created a comprehensive mock data seeding system to generate realistic datasets for development, testing, and demonstration purposes, ensuring reliable validation of application features across MongoDB, Neo4j, and Redis.

Python, Flask, MongoDB, Neo4j, Redis, Docker, Docker Compose, REST APIs.

Developed the narrative engine and story management backend for an interactive Choose Your Own Adventure platform. Designed and implemented RESTful APIs, business logic, and database models for stories, pages, and branching choices using Flask and SQLAlchemy. Integrated the Flask API with a Django frontend supporting user authentication, role-based access control, gameplay tracking, and story analytics. Contributed to the overall application architecture by separating content management from user management into independent services.

Python, Flask, Django, SQLAlchemy, SQLite, REST APIs, HTML, CSS.

Implemented the camera subsystem and machine learning pipeline for RecycleScan, a native Android application that identifies recyclable items from photographs and provides disposal guidance. Integrated the Android Camera API with a TensorFlow Lite model for on-device image classification, performed code reviews, and coordinated the integration of application modules developed by the team to deliver a fully functional Android application.

Java, Android SDK, TensorFlow Lite, Gradle, IntelliJ IDEA.

Python • Java • C++ • JavaScript • TypeScript • SQL

Spring Boot • Django • Flask • FastAPI • Express.js • REST APIs • JWT

React • HTML • CSS • JavaScript

PostgreSQL • MySQL • MongoDB • Neo4j • Redis • SQLite

Docker • AWS • Nginx • GitHub Actions • GitLab CI/CD

Git • GitHub • GitLab • Linux