Education

Applied Technology School for Nuclear Energy

Electronics Major; Graduation Year: 2026; Current GPA: 4.0 | El-Dabaa, Matruh (Oct. 2021 – Present)

Experience

Founder & CEO & Developer | Mersa Matrouh, Matruh, Egypt (May 2022 – Present)

Developed a scalable containerized application hosting service, based on Kubernetes and CEPH distributed file system.
Built a backend infrastructure using Java Spring Boot, PostgreSQL, and Redis for efficient microservices deployment.
Built frontend client-side application for managing and deploying user application applications.

Research Internship in Computer Vision | Jenkintown, PA, United States (Feb 2025 – Aug 2025)

Conducting research in low-cost robotics navigation using computer vision under Macalester College Professor Susan Fox.
Completing the INST 099 research course, with 4 college credits offered by Oberlin College.

ATSNEE School Website: Designed and developed a responsive website for my school using Next.js, Tailwind CSS, and Payload CMS. Applied accessibility and user experience principles, enhancing usability for all visitors. The platform has reached 5,000+ visitors, including prospective students and parents.
Sell4Spot: Built a digital marketplace platform enabling users to buy and sell second-hand items. Developed using MERN stack (MongoDB, Express.js, React.js, Node.js), with secure authentication and payment integration.
Plasma Knights: Developed a data science and machine learning project for predicting and analyzing Magnetic Reconnection, a space phenomenon. Implemented two types of tests: Coordinates tests and LMN tests to enhance predictive accuracy and analysis.
Autonomous Drone for Radiation Monitoring: Built an AI-powered drone for automated radiation workplace monitoring, utilizing monocular depth estimation for navigation. Designed deep learning-based vision-based path planning to avoid LiDAR interference from gamma radiation.

Pioneer Academics Research Scholarship: Awarded a $6,850 scholarship for the Oberlin-accredited Pioneer Research Program.
NASA Space Apps Challenge - Global Finalist: Led a team to develop an application for analyzing Magnetic Reconnection, ranking among the top 500 out of 12,000+ teams worldwide.

AI/ML: Python, TensorFlow, PyTorch, Computer Vision
Frontend Technologies: React.js, React Native, Next.js, Tailwind CSS, SASS, Chakra UI, API Integration, React Router
Backend Technologies: Java, Java Spring Boot, Express.js, SQL, MongoDB, Redis, REST APIs