Bridging AI research and real-world engineering applications through intelligent, data-driven systems.
I am a Computer Systems Engineering student at Middlesex University Dubai, specializing in the intersection of Embedded Systems and Machine Learning. I design and deploy Edge AI solutions, sensor-driven automation, and full-stack IoT systems.
- 🌱 Currently mastering Edge AI and Hardware-Software Co-Design.
- 🔬 Researching Vision-Grounding frameworks to prevent AI hallucinations in IoT.
- ⚡ Fun fact: I've built everything from smart meal trackers to autonomous room automation systems.
| Category | Skills |
|---|---|
| Languages |     |
| Embedded & IoT |     |
| AI & ML |     |
| Engineering Tools |     |
Full-stack IoT system combining edge processing with vision-grounding AI.
- Core Tech: Raspberry Pi 5, HX711 Load Cell, Pi Camera, Flask.
- Innovation: Prevents AI hallucinations in nutritional tracking using a custom vision-grounding framework.
- ML: Random Forest models for predicting metabolic health trends.
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.
Autonomous system for lighting and blinds based on real-time sensor processing.
- Core Tech: STM32 Nucleo-F429ZI, PIR & Ambient Light sensors.
- Performance: Sub-2s response time with ultra-low power sleep modes.
- English (Proficient)
- Hindi (Native)
- Urdu (Native)
