Building intelligent systems at the intersection of AI, automation, embedded systems, and real-world business solutions.
I am an AI & Automation Engineer with dual training in mechatronics systems and business information systems. My work centers on developing practical, intelligent solutions that bridge machine learning, computer vision, and embedded hardware automation. From deploying commercial multi-branch enterprise platforms to developing an Arduino-based voice control project recognized by UNESCO, I specialize in building robust systems that solve real-world operational challenges.
Artificial Intelligence · Machine Learning · Deep Learning · Computer Vision
Data Science · Embedded Systems · Robotics · Automation
Selected project repositories and technical documentation are currently being prepared for publication.
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AI-Powered Sign Language Translator (SINGNIFY App)
Real-time computer vision and machine learning system translating hand gesture signs into synchronized text and speech. Computer Vision • Machine Learning • Real-Time Systems
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AI Surveillance System for Violence & Harassment Detection
Vision-based monitoring pipeline analyzing camera feeds to detect aggressive incidents and automatically trigger administrative alerts. Computer Vision • Deep Learning • Automation
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Cross-Platform Attendance Management System
Commercial attendance platform deployed across 12+ retail optical branches featuring biometric validation, device-bound accounts, and location-based attendance validation. System Development • Biometrics • Workflow Automation
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Real-Time Data Analytics Dashboard
Dynamic operational monitoring dashboard providing automated visualization of company operations, event tracking, and business metrics. Data Science • Data Visualization • Analytics
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Voice-Controlled Smart Model (Arduino)
Embedded microcontroller system integrating mobile voice commands with real-time hardware actuation. Recognized by UNESCO for innovation. Embedded Systems • Arduino • Mobile Integration • Smart Device Control
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Motion-Activated Lighting System
Contact-free automated lighting controller utilizing physical motion sensors and Python hand-gesture tracking for real-time environment control. Automation • Python • Sensors • Embedded Control
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- Founder & Technical Lead — Directed technical planning, system design, and delivery across software development, automation, and embedded solutions.
- AI & Machine Learning Instructor — Delivered hands-on training in Python, computer vision, and machine learning fundamentals to students aged 10–18.
- System Analyst Intern — Unitechs — Analyzed business requirements and contributed to system architecture design and workflow documentation.
- EGYTRAFO Group — Industrial Training — Completed hands-on industrial training in electric motors, transformers, industrial automation, and robotics integration.
- UNESCO: Recognized for innovative Arduino-based voice control project.
- German-Arab Chamber of Industry and Commerce (GACIC): Awarded for passing a hands-on and theoretical mechatronics examination.
- Orange Digital / Orange Training Program: Completed specialized training in AI Automation and business process integration.
- Instant Academy: Completed intensive 170+ hour Artificial Intelligence Diploma covering Machine Learning, Deep Learning, and Data Science.
- Bachelor of Business Information Systems — Al-Shorouk Academy
- Technical School of Applied Technology for Mechatronics – Badr
Let's build intelligent systems that solve real-world problems.