I am a graduate student pursuing master's in Electrical Engineering at Virginia Tech.

I am a dedicated Electrical Engineering (EE) master's student at Virginia Tech with a diverse skill set and a passion for innovation. Currently, I am immersed in a cutting-edge project focused on the development of a groundbreaking anomaly detection algorithm using Large Language Models (Transformers) for the cybersecurity of substations. My work in this domain aims to enhance the resilience of critical infrastructure.

In my prior academic and professional experiences, I have delved into various areas of EE. I have conducted research on advanced Li-ion batteries, honing my expertise in energy storage technologies. Additionally, I have designed and implemented state estimation algorithms using probabilistic approaches and machine learning techniques in Matlab, for Li-ion batteries.

My industrial experience in Automation has provided me with practical insights into the field. I have successfully tackled projects ranging from creating intuitive HMI screens to seamlessly integrating GIS into applications. Furthermore, I have crafted the front end of applications using the Aveva Wonderware platform, showcasing my proficiency in industrial software development.

Throughout my academic journey, I have undertaken a rigorous coursework that has equipped me with a strong foundation in key domains, including power systems, Renewable energy systems, Machine Learning, and optimization. This knowledge base not only fuels my current research endeavors but also positions me as a versatile engineer ready to take on complex challenges and drive innovation in the field.