Daya Khudia is an accomplished engineering lead and manager at Databricks, focusing on optimizing AI model training and inference through performance analysis and solution development, with expertise in frameworks such as PyTorch, vLLM, and TRT-LLM. Prior roles include serving as a research and development engineer at MosaicML and an applied research scientist at Facebook, where Daya contributed to AI infrastructure and performance optimizations for machine learning models. Daya's technical background includes a tenure as a software architect at Intel Corporation, specializing in binary translation and hardware-software co-design. Daya began an academic career as a graduate research assistant at the University of Michigan and holds a Doctor of Philosophy and a Master’s Degree in Computer Engineering from the University of Michigan, along with a Bachelor of Technology in Electrical and Electronics Engineering from the Indian Institute of Technology, Delhi.
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