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Daya Khudia

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Technical Lead Databricks

Daya has been leading the GenAI performance engineering team at Databricks since July 2023. With a strong background in computer engineering, Daya has over a decade of experience in creating faster and more compute efficient systems. Before joining Databricks via MosaicML acquisition, Daya worked at MosaicML as a R&D Engineer, where he focused on improving training and inference performance of ML models. At Meta, as an Applied Research Scientist in the AI System Co-design Team, he developed FBGEMM, an open source software library that contains kernels to make inference faster. He earned his Master’s and Ph.D. degree in CSE from the University of Michigan, Ann Arbor after completing his undergraduate studies in EE at the IIT, Delhi.

Bio from: Data + AI Summit 2025

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Talks & appearances

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with Jonathan Hsieh (LanceDB) , Cathy Yin (Databricks) , Andrew Shieh (Databricks) , Ziyi Yang (Databricks) , Andy Konwinski (Databricks) , Denny Lee (Databricks) , Asfandyar Qureshi (Databricks) , Yuki Watanabe (Databricks) , Brandon Cui (Databricks) , Andrew Drozdov (Databricks) , Anand Kannappan (Patronus AI) , Harsh Panchal (Databricks) , Tomu Hirata (Databricks) , Daya Khudia (Databricks) , Jose Javier Gonzalez (Databricks) , Jasmine Collins (Databricks) , MAHESWARAN SATHIAMOORTHY (Bespoke Labs) , Jonathan Chang (Databricks) , Matei Zaharia (Databricks) , Alexander Trott (Databricks) , Tejas Sundaresan (Databricks) , Pallavi Koppol (Databricks) , Jonathan Frankle (Databricks) , Erich Elsen (Databricks) , Ivan Zhou (Databricks) , Davis Blalock , Gayathri Murali (META)

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