Gaurav Srivastava
Gaurav Srivastava is a master's degree student in the Department of Computer Science. His advisor is Xuan Wang.
His research focuses on building efficient agentic AI systems with small language models, especially making compact models reason well, use tools, plan steps, and complete tasks autonomously without relying on massive compute. His work lies at the intersection of natural language processing, efficient LLM reasoning, model efficiency, LLM evaluation, and agentic systems.
Srivastava is particularly interested in understanding how far small language models can go when they are carefully trained, compressed, evaluated, and designed as capable agents.
Publications
Projects
In the News
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Congratulations to Sanghani Center 2026 Spring Graduates , article Date: May 15, 2026 - -
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Sanghani Center Student Spotlight: Gaurav Srivastava , article Date: Apr 13, 2026 -
