Harsha Nelaturu

I work on developing efficient training and inference methods for large-scale deep learning systems. My research leverages compression techniques such as sparsification, quantization, and distillation to build computationally and memory-efficient models. In addition, I am also interested in robust model evaluation and trustworthiness.