Electrical Engineering student with a specialization in Telecommunications. My academic journey is strengthened by a strong passion for bridging the fields of telecommunications, intelligent technologies, and sustainable energy technologies. Currently exploring Artificial Intelligence, Machine Learning, Software Engineering, Internet of Things (IoT), and Digital Twin, aiming to design scalable and intelligent solutions for real-world challenges.

Passionate about leveraging IoT, Artificial Intelligence, and Digital Twin technologies to drive innovation in sustainable energy systems. My focus area of interests include:

• Smart Energy Systems – developing intelligent control and monitoring frameworks that integrate IoT sensors, AI models, and real-time analytics for efficient energy generation, storage, and consumption.
• Digital Twin for Renewable Energy – creating dynamic digital replicas of photovoltaic, battery, and grid systems to enable predictive maintenance, performance optimization, and energy forecasting.
• Energy-Aware IoT Networks – designing connected systems that minimize power losses and enhance communication reliability across distributed renewable infrastructures.
• AI-Driven Energy Optimization – applying data-driven algorithms for demand forecasting, energy arbitrage, and operational efficiency in hybrid and microgrid environments.

Currently working on my bachelor thesis project called "Recommendation System Based on RUL and SoH Prediction for Smartphone Battery using Android Application and Internet of Things to Mitigate Electric Waste".