About
“To live life is to take decisions, and to take decisions is to reason and plan.”
I am a fifth year Ph.D. student under the supervision of Dr. Subbarao Kambhampati in Yochan Lab at the School of Computing & AI, Arizona State University.
My research centers on the design and implementation of intelligent AI systems that empower human decision-making through the synergistic application of Large Language Models (LLMs), Large Reasoning Models (LRMs), and Reinforcement Learning (RL). My work critically examines the strengths and weaknesses of Foundational Models from a Human-AI Interaction standpoint, specifically investigating how these models can be tailored to meet the needs of real-world users and facilitate seamless human-AI collaboration for improved and more reliable decision outcomes across various domains.
Earlier, I completed my undergraduate studies majoring in Computer Science from Delhi Technological University, India. In the past, I have worked and collaborated with research groups at IIIT, Delhi focusing on the topics of Preference-based Reinforcement Learning and Adversarial Machine Learning.
News
[May 2025] Our paper titled “Do Think Tags Really Help LLMs Plan? A Critical Evaluation of ReAct-Style Prompting” was accepted at TMLR - Transactions on Machine Learning Research. Check out the paper and the video.
[April 2025] I successfully defended my PhD Proposal Defense titled “Role of Large Language Models in Human-AI Interaction: A Critical Appraisal”.
[March 2025] My YouTube podcast/interview titled Beyond ChatGPT: The Future of Human-Aware AI Agents hosted by Ones Changing The World - 1CW is out.
[Janary 2025] My YouTube podcast titled CS PhD in the USA Demystified: Your Ultimate Guide to Deciding, Preparing, Applying, and Succeeding! hosted by Turning Turing is out.
[August 2024] I completed my internship at Microsoft Research, Redmond. I worked with the Augmented Learning and Reasoning group on the topic of decision-making problems in Human-AI conversations.
[May 2024] Our lab’s position paper LLMs Can’t Plan, But Can Help Planning in LLM-Modulo Frameworks is accepted at ICML 2024.
[March 2024] I will be joining the Augmented Learning and Reasoning group at Microsoft Research, Redmond as a Research Intern for Summer 2024.
[February 2024] I was awarded the ASU School of Computing & AI Doctoral Fellowship for Spring 2024!
[January 2024] Our work on investigating the Theory of Mind abilities in Large Language Models was accepted at HRI 2024.