Inventor & Lead Developer

Invented and developed IntelliSense, a revolutionary AI-powered IoT solution that optimizes energy consumption in commercial buildings. The patent-pending technology combines advanced machine learning algorithms with smart sensor networks to deliver unprecedented energy savings.

• •Developing accurate energy consumption prediction models for diverse building types
• •Creating a cost-effective IoT sensor network for large-scale building deployment
• •Ensuring reliable data collection and processing in challenging building environments
• •Building AI models that can adapt to different building systems and usage patterns
• •Achieving rapid ROI while maintaining solution effectiveness

• •Developed proprietary machine learning algorithms for energy pattern recognition
• •Created a mesh network of low-power IoT sensors using LoRaWAN technology
• •Built real-time AI processing system for immediate energy optimization decisions
• •Implemented adaptive learning algorithms that improve performance over time
• •Designed user-friendly dashboard for facility managers to monitor and control systems

• •Achieved 30% average reduction in energy costs across pilot deployments
• •Generated positive ROI within 12-18 months for commercial building clients
• •Filed patent application for novel AI-driven energy optimization approach
• •Reduced carbon footprint by equivalent of 500+ tons CO2 annually per building
• •Created scalable solution applicable to various commercial building types

• •Hardware and software integration requires careful attention to reliability and maintenance
• •Energy optimization must balance cost savings with occupant comfort
• •IoT solutions need robust edge computing capabilities for real-time responsiveness
• •Patent protection is crucial for innovative technology solutions