Curriculum Vitae (CV)

My long form CV is available in PDF format here: CV in PDF format.

For better readability, you can also navigate to the HTML version of my CV here: CV in HTML format

Short Bio

Ammar Ahmad Awan is a Principal Research Manager at Microsoft leading a team of researchers and software engineers building DeepSpeed-FastGen, an efficient inference library to serve AI models in production. In the past, he led the development of DeepSpeed-MoE, which supports both training and inference of MoE models at scale. He received his B.S, M.S, and Ph.D. degrees in Computer Science from the National University of Science and Technology (NUST), Pakistan, Kyung Hee University (KHU), South Korea, and The Ohio State University, respectively. His current research focus lies at the intersection of high-performance systems and large-scale training and inference of deep learning (DL) models. He previously worked on a Java-based Message Passing Interface (MPI) and nested parallelism with OpenMP and MPI for scientific applications. He has published several papers in conferences and journals related to these research areas. He actively contributed to various projects like MVAPICH2-GDR (High Performance MPI for GPU clusters, OMB (OSU Micro Benchmarks), and HiDL (High Performance Deep Learning) during his graduate studies at OSU.