const ilyes = {
location: "Paris, France 🇫🇷",
passion: ["System Design", "Software Architecture", "Clean Code"],
currentlyExploring: {
ai: "Reinforcement Learning & Deep Learning models",
infrastructure: "DevOps practices & scalable system design",
emerging_tech: "Blockchain integration & GenAI applications"
},
approach: "Build solid foundations, then optimize relentlessly",
learning: "Infrastructure side of large-scale software systems",
hobby: "Testing new technologies in real projects",
philosophy: "Good software architecture is invisible until you need it",
contact: "ilyes.arabet.pro@gmail.com"
};Tech Stack: React, GSAP, Node.js, Express, PostgreSQL, Langchain
A web-based CPU simulator that teaches computer architecture through hands-on experience. Students can write assembly code, execute it step-by-step, and see how instructions flow through the CPU pipeline. Built with an interactive interface and includes structured courses.
Tech Stack: FastAPI, PostgreSQL, OpenCV, ML Pipeline
Developed the backend for an assistive navigation system that processes floor plans and architectural drawings. The system identifies walls, doors, and furniture using computer vision, then generates accessible routes with voice guidance. Part of a larger IoT ecosystem that tracks user movement in real-time. Full project
Tech Stack: LangGraph, FastAPI, Pinecone, Multi-Agent Architecture
An AI system that analyzes financial news and situations to recommend updates to Islamic finance standards. Uses specialized agents for different tasks - one gathers news, another identifies gaps in current standards, and expert agents propose specific improvements. Includes human oversight for validation. Documentation
🥇 1st Place DevFest Hackathon Winner
Tech Stack: RabbitMQ, Next.js, InfluxDB, Microservices
A production monitoring system for manufacturing environments. Handles thousands of sensor readings per second, processes them through multiple microservices, and displays real-time dashboards. Each service has its own database and communicates through message queues. Built with scalability and fault tolerance in mind.
Tech Stack: Kotlin, OpenCV, Computer Vision
An Android app that determines your exact position inside a building using AprilTag markers on walls. Processes camera input to detect tags and calculates position through triangulation. Useful for navigation in places where GPS doesn't work well.
Here are the technologies I've worked with and tested so far
