Kris Dey is a skilled Software Engineer with extensive experience at Google, specializing in machine learning and site reliability engineering. Current roles include Software Engineer L4 in Core ML at Google, focusing on optimizing ML infrastructure for enhanced experimentation performance. Previous contributions include significant improvements to the ML workflow for Google Ads, achieving a 120x reduction in request time through innovative automation solutions. Dey's early experience includes internships in both the Google Health sector and Google Ads, where a strong emphasis was placed on enhancing operational efficiency and automation. Educational background includes a study abroad year in Computer Science at the University of Waterloo. Currently involved with Evals at Gemini as a Software Engineer at Google DeepMind since November 2025.
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