Building intelligent systems for satellite vision and real-world automation.
I am passionate about applying Artificial Intelligence to solve real-world problems, especially in Computer Vision and Satellite Image Analysis. I enjoy transforming research ideas into practical software solutions.
Research-driven AI EngineerThe person behind the systems.
I am an AI and Computer Engineering professional currently pursuing an M.Sc. in Artificial Intelligence. My work combines research thinking with hands-on building across satellite imagery, object detection, embedded systems, Arabic NLP and web applications.
Real projects, clear impact.

Satellite Mission Control System
A LabVIEW Telemetry Tracking & Command (TT&C) GUI for reading subsystem telemetry, sending commands, monitoring sensors and keeping mission operators aware of satellite health.
- Telemetry readings for DHT22, MPU6050, MQ135, GPS and BMP
- Power subsystem voltage and current monitoring
- Manual command and reaction-wheel control views
- LabVIEW • Telemetry • Serial Communication • GPS

Agricultural Land Encroachment Detection
YOLOv8-based detection and decision logic for identifying possible building on agricultural land from satellite imagery.

CNN vs ResNet18 Land Classification
A comparison of SimpleCNN, ResNet18 transfer learning and ImprovedCNN for agriculture, urban and other land classes.

Face Detection Algorithms Comparison
A comparative computer-vision study of Haar Cascade, HOG + SVM and ResNet-SSD.

Arabic Text Classification
Arabic NLP preprocessing, classification and model comparison using Python machine-learning workflows.

Laboratory Management System
A database-driven workflow for patients, tests, samples, reports and organized laboratory operations.

LenO Cosmetics Website
An elegant responsive cosmetics website with product management concepts and WhatsApp ordering flow.
Clear status, no fake publications.
Detection of Agricultural Land Encroachment Using Deep Learning and Satellite Imagery
Exploring AI-based remote-sensing approaches for land-use monitoring and detecting violations.
Status: In ProgressYOLOv8 for Agricultural Encroachment Detection
Project documentation covering the detection pipeline, decision logic, GPS-linked logging and alert workflow.
Status: Under PreparationFace Detection Algorithms Comparison
A completed comparison of classical and deep-learning detectors with methodology, data and evaluation discussion.
Status: Completed ReportPractical tech stack.
Timeline.
Teaching Assistant — Computers Department
Faculty of Engineering, Egyptian Russian University. Supporting students through technical sessions, coursework and applied AI / programming training.
Satellite Telemetry & System Integration
Egyptian Space Agency — worked with Oracle database schemas, telemetry-related algorithms, LabVIEW interfaces and system-level testing.
ML / CV Academic Projects
Built practical projects in computer vision, satellite imagery, Arabic NLP and database-driven systems.
Front-End & UI/UX Training
Developed interface design and front-end implementation foundations for responsive web projects.
Show, don't tell.
Encroachment Detection Workflow
Map evidence, implementation work and annotated-detection output.
Arabic Text Classification
Short project presentation covering the training process.
Face Detection Comparison
Presentation and implementation walkthrough.
Laboratory Management System
Patient, sample and report workflow demonstration.
LenO Cosmetics Website
Responsive storefront and WhatsApp ordering flow.
Academic learning, honestly presented.
Artificial Intelligence • Image Processing • Pattern Recognition
Postgraduate and academic coursework supporting AI, computer vision and satellite-image research.
LabVIEW • Oracle Database & PL/SQL • Front-End UI/UX
Practical learning applied in mission-control, database and web projects.
Computer Vision • YOLOv8 • PyTorch • Deployment Basics
Learning through real implementations, technical reports, demos and project documentation.
Let's build something amazing together.
Open to AI projects, computer vision work, research collaboration and full-stack AI systems.