Kayla L. is a skilled software engineer with a diverse background in data engineering, AI, and machine learning. Kayla gained experience as a Software Engineering Intern at Datadog and Microsoft, contributing to the development of features for Microsoft 365 and Google Cloud Spanner. Following these internships, Kayla served as a Software Engineer at Fathom and has continued to expand expertise with roles at Google, focusing on Workspace AI Platform and Cloud Pub/Sub. In addition to technical positions, Kayla has served as a Teaching Assistant at Carnegie Mellon University, supporting students in computer science principles, and has held research positions at Stanford University and Carnegie Mellon, exploring augmented reality and educational technologies. Kayla holds a Bachelor of Science degree in Computer Science with an additional major in Psychology from Carnegie Mellon University.
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