I'm a fourth-year Ph.D. student in Computer Science at the University of Southern California (USC), advised by Sai Praneeth Karimireddy. My research focuses on the trustworthiness of large language models (LLMs) and agentic systems. I investigate how inference-time failure modes such as hallucinations, insufficient diversity, and reasoning breakdowns originate from data and optimization decisions during training. Through data-centric analysis, interpretability tools, and targeted synthetic data generation, my work aims to establish principled mechanisms for diagnosing, attributing, and correcting these weaknesses, thereby improving real-world robustness and safety.

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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