About Me
I am currently pursuing my M.Tech in RF and Microwave Systems at NIT Rourkela, with a strong academic foundation in Electronics and Communication Engineering. My academic journey has strengthened my technical expertise in RF & Microwave engineering, neural networks, software development, and system design, while also deepening my interest in Machine Learning, Generative AI, and intelligent systems.
Alongside academics, I bring hands-on experience from the IT industry, having worked as a Full Stack Software Engineer at UST Global (Client: Dell Technologies). In this role, I developed end-to-end enterprise solutions using Angular, Java, Spring Boot, RESTful APIs, and MySQL, contributing to scalable and high-performance applications.
I am also actively involved in research and scholarly contributions. I am a co-author of the IEEE conference paper titled “Machine Learning Inspired Impedance Matching Prediction of Fractal Gasket Antenna”, published in IEEE CVMI 2025. Additionally, I served as a Reviewer for papers submitted to the IEEE 4th International Conference on Computer Vision and Machine Intelligence (CVMI 2025).
With a strong blend of academic knowledge, industry experience, and research exposure, I am skilled at solving complex problems, collaborating across teams, and contributing effectively in both engineering and research-driven environments. I am passionate about innovation and eager to contribute to impactful technological advancements.
