Building intelligent, data-driven, and industry-grade IoT systems.
I am a Computer Science and Engineering (CSE) student with strong interests in Machine Learning, Deep Learning, Internet of Things (IoT), and Information Technology.
I have worked on industry-grade IoT projects focused on real-world problem solving, smart monitoring, and scalable system design. My passion lies in bridging the gap between hardware and software to create intelligent ecosystems.
Fundamentals & Applied Concepts
Neural Networks & Intro Level Concepts
Arduino, ESP32, Industry-Grade Projects
ML & Data Applications
Networking Basics & System Admin
SQL & Data Management
Python, SQL, PowerBI & Insights
Real-time IoT-based water level monitoring system using sensors and microcontrollers to prevent overflow and water wastage.
Smart water monitoring and management system focused on efficiency, conservation, and real-time alerts for household and industrial use.
Converted traditional water meters into digital IoT-enabled systems to support low-cost, transparent water management in underserved areas.
A comprehensive AgTech solution helping farmers with real-time crop monitoring, disease detection, and yield optimization using IoT and ML.