Ammar Ahmed

PhD student | University of Minnesota

About Me

I am a fourth-year PhD student @ Department of Computer Science and Engineering, UMN. I am member of DMLSys and currently be advised by Ali Anwar.

My research focuses on designing efficient systems for large language models. I am interested in exploring how to optimize model performance while minimizing computational resources and what trade-offs exist between model size, speed, and accuracy for specific tasks. My current work involves improving the inference of LLMs by reusing past reasoning.

Prior to starting my PhD, I worked as research assistant at the Information technology university under Mudassir Shabbir. During this time, I worked on graph learning and its applications in various domains.

Publications

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