I'm a fourth-year Ph.D. student in Computer Science at the University of Southern California (USC), advised by Sai Praneeth Karimireddy. I study the trustworthiness of AI systems with a particular focus on diversity in large language models (LLMs) and agentic systems. My research investigates the diversity problem in current models, which often produce homogeneous outputs, follow narrow exploration traces, and rely on limited or biased inputs during decision-making. By systematically characterizing and improving diversity in these aspects, my work aims to enhance the robustness, fairness, and reliability of AI systems, ultimately strengthening their trustworthiness in real-world deployment.

Prior to USC, I received my Master's at Computer Engineering department of Sharif University of Technology under the supervision of Mahdieh Soleymani, where I did research on developing brain-inspired algorithms for the meta-continual learning problem. Additionally, I got my B.Sc. in Electrical Engineering from the same university where I was jointly supervised by Mahdi Shabany and Zahra Kavehvash.

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