Makesh Sreedhar is an applied scientist in the NVIDIA Dialog Research group where he focuses on model alignment and guardrails for language models. While working on his master’s degree at the University of Wisconsin-Madison, Makesh worked on efficient techniques for machine translation and multi-hop question answering. Makesh likes reading about recent advancements in NLP and applying them to address industry challenges.