Through the Digital Egypt Pioneers Initiative (DEPI), I developed a real-time data pipeline for a smart traffic and lighting project. It processes simulated sensor events with MQTT, Apache Kafka, and Spark Structured Streaming, then stores the results in Microsoft SQL Server.
I trained machine learning models to predict traffic congestion and developed recommendations for street lighting, with Telegram notifications for detected anomalies. I also built car price prediction and customer purchase analysis applications, from data preparation and model evaluation to interactive interfaces.
My projects include a hospital management system built with Python, Tkinter, and SQLite. I’ve also worked on AI data annotation, audio transcription, quality assessment, and AI response evaluation.
