Proceedings of the 2025 Workshop on Re-design Industrial Control Systems with Security · 2025
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Resume (English only)
Academic Achievements
Published papers in EMNLP main conference and other top-tier (Q1) journals. Developed BeyondBench, an evaluation framework, and conducted research on overthinking in LLMs.
Research Experience
Spent Summer 2025 at Dell Technologies’ Global Office of the CTO, designing an agentic AI approach to autonomous resource allocation, and was awarded 3 Inspire Recognition Awards for positioning Dell PowerEdge as “AI-native” infrastructure. Previously, worked at Swiggy’s Applied Research (Computer Vision) team for 6 months. Before joining Virginia Tech, worked as a Machine Learning Engineer at Dell Technologies for 1 year.
Education
Currently a second-year MS (thesis) student in Computer Science at Virginia Tech, advised by Dr. Xuan Wang. Graduated from Manipal University Jaipur in July 2023 with a Bachelor's degree in Computer Science, supervised by Dr. Nitesh Pradhan and worked alongside Dr. Vijaypal Singh Dhaka and Dr. Mahesh Jangid. Received the President’s Gold Medal for Excellence in Research during his bachelor's program.
Background
Research interests include natural language processing, small and large language models, agentic systems and their applications in real-world domains, particularly at the intersection of reasoning and efficiency. Affiliated with the Sanghani Center for Artificial Intelligence and Data Analytics.