Hello, I'm
|
Building intelligent systems at the intersection of deep learning, embedded hardware, and real-world impact.
I'm a Telecommunications Engineering student at Sup'Com, selected for a double degree with Télécom SudParis. I'm passionate about building AI-powered systems that create tangible impact — from energy monitoring platforms and IoT devices to RAG-based assistants and computer-vision drones.
Outside the lab I lead as President of IEEE Sup'Com and have competed in over a dozen national and international hackathons, placing on the podium in every one I entered.
▶ Chapter one complete — the stack is just warming up. Here’s to many more. ⚡
Platform to evaluate radio network cells via KPIs (throughput, avg users…) and preview corrective actions through Digital Twin simulation.
SaaS for the SOS Children’s Villages Tunisia ecosystem with role-based interfaces, automated reporting & signature workflows, and ticket-tracking across hierarchy levels.
Cobalt — a cybersecurity consultancy for Tunisian SMEs offering pentesting packages, real-time monitoring, intrusion detection, and employee security training.
Unified platform for energy consumption and PV production monitoring, combining NILM-based disaggregation with LSTM, TCN, and ATCN forecasting models. Anomaly detection on solar panels using XGBoost, LightGBM, and Random Forest ensembles.
Smart post-harvest storage IoT unit with dual-fan ventilation, temperature/humidity sensors, and a Raspberry Pi 4 streaming live data to a mobile app. On-device Computer Vision identifies vegetable type and freshness, auto-adjusting fan conditions to optimal values.
Real-time train network conflict resolver using the TransitLine API. A binary classification model flags conflict states, then retrieves the most similar historical resolution from a Qdrant vector database via semantic search.
Intelligent agricultural assistant: a drone with Raspberry Pi & PiCamera monitoring crop quality via YOLOv5 and a Vision-Language Model, paired with a Dynamic RAG chatbot designed to empower women farmers.
Interactive dashboard for Tunisian equities featuring an LSTM deep learning model for trend forecasting, with real-time data visualization and performance analytics.