Gaurav is a software engineer at d-Matrix where he is leading the efforts for building the kernel software stack for next-generation in-memory compute LLM inference hardware. He’s also involved in the research and exploration of techniques aiming towards the improvement of end-to-end model performance and reducing memory overhead. Prior to this he was a silicon architect in the Google Pixel TPU machine learning accelerator team. Gaurav holds a Master's in Electrical and Computer Engineering from the University of Wisconsin-Madison and his research interests span across multiple domains including model optimization, ML Systems, hardware-software co-design, and computer architecture. You can reach him on LinkedIn.