IoT & Mobile Development
Bridging the gap between hardware and software through intelligent, real-world IoT solutions.
Pursuing a degree in Computer Systems Engineering at Middlesex University Dubai, I concentrate on the fusion of intelligent algorithms with embedded hardware. My work revolves around developing smart, connected systems—from AI-powered edge devices to automated IoT solutions—that address real-world challenges through efficient and scalable design.
🧬 Engineering Intelligent Systems | ⚡ Edge AI & IoT Developer | 🔗 Bridging Hardware + ML | 🚀 Building Real-World Impact
- 🌱 Currently mastering Cross-Platform Mobile Development (Kotlin/Capacitor) and Scalable IoT Architectures.
- 🔬 Developing Multi-Source Data Fusion algorithms to calculate high-accuracy health metrics (like the Vitality Index in BioSync).
- ⚡ Fun fact: I built a Smart Laundry Hanger (Zephyr) so I’d never have to rush home to save my clothes from the rain again!
| Category | Skills |
|---|---|
| Languages |       |
| Embedded & IoT |     |
| Cloud & DB |      |
| AI & ML |    |
| Design & Tools |     |
A smart home automation system designed to optimize laundry drying using real-time environmental sensing.
- Core Tech: Arduino/ESP32, DHT11 Humidity Sensors, Servo Motors, Weather API Integration.
- Innovation: Automated retraction and notification system that protects laundry from sudden rain or over-exposure to UV.
- Automation: Intelligent scheduling algorithms that calculate optimal drying times based on live sensor feedback.
Context-aware health monitoring using multi-source data fusion.
- Core Tech: Capacitor, Kotlin, MQTT, Supabase.
- Innovation: Integrates biometric (HRV, SpO2) and environmental data to calculate a Vitality Index (~94% accuracy).
- Architecture: Privacy-first edge computing with controlled cloud sync.
A revolutionary, real-time pet care platform that optimizes feeding routines using machine learning.
- Core Tech: Next.js 15, React 19, Supabase, OpenAI, Scikit-Learn.
- Innovation: High-precision weight sensors combined with a Neural-ML engine to optimize nutrition and reduce food waste.
- Architecture: Modern App Router design with real-time Telegram alert integration and Glassmorphism UI.
