About Me
Hello and Welcome! đź‘‹
I’m an experienced Oil & Gas professional turned AI & Machine Learning researcher, specializing in industrial AI, defense applications, and data science.
Currently, I am a Junior Research Fellow (JRF) at SRM Institute of Science and Technology, working on a DRDO-funded project focused on Explainable AI (XAI) for sonar image detection and classification. My research involves developing AI-driven solutions for defense, improving model interpretability, and enhancing sonar image analysis techniques for autonomous systems.
Previously, I worked as a Machine Learning Data Associate at Amazon, where I contributed to machine learning model development, handling large-scale datasets, annotation tasks, and data preprocessing to enhance AI-driven products.
Before transitioning into AI, I had a career in the Oil & Gas industry, managing shutdowns, maintenance activities, and risk mitigation while ensuring operational efficiency. These experiences helped me build strong leadership, analytical, and decision-making skills in high-pressure environments.
My passion lies in AI research, computer vision, and real-world machine learning applications. With a multidisciplinary background, I aim to bridge the gap between research and industry, particularly in defense, surveillance, and autonomous systems.
I hold a Master of Science (M.S.) in Data Science from Deakin University, a Post Graduate Program in AI & ML from The University of Texas at Austin, and a Bachelor’s degree in Mechanical Engineering from Anna University, Chennai.
I’m always eager to collaborate on cutting-edge AI research and innovative projects. Feel free to connect with me!
“Growth begins at the end of your comfort zone.” – Neale Donald Walsch