Building intelligent machines and data-driven solutions —
on the edge of graduation, armed with real projects
that solve real problems.
Developing intelligent ML models to extract patterns and predict outcomes in healthcare, real estate, and sports using XGBoost & Random Forest.
Designing and programming autonomous systems and hardware control logic using Arduino and ESP32 for real-world embedded applications.
Processing large-scale datasets to uncover actionable insights through rigorous data cleaning, transformation, and feature engineering.
Faculty of Artificial intelligence — Misr University for Science and Technology University in Egypt
Specialization in AI, machine learning, and embedded systems. Completed multiple real-world projects spanning healthcare, robotics, and advanced data science.
Graduating 2027Image Forgery Localization · Deep Learning
Co-authored an accepted IEEE paper on a deep learning pipeline fusing a custom 6-channel U-Net with traditional computer vision for pixel-level tampering detection.
PublishedKaggle · Coursera · DeepLearning.ai
Continuous upskilling in deep learning, neural networks, and data analytics through structured online programs and competitive hands-on challenges.
OngoingOpen to freelance, collaborations & full-time opportunities.