Kayla Nguyen is a software engineer with 11 years of experience specializing in serverless and cloud-native systems at Google, where she has worked on Serverless and Artifact Registry projects. She is an active open-source contributor to notable Google Cloud repos, improving Functions Framework and Python samples by adding declarative function signatures, CloudEvent support, and conformance tests that strengthen portability and robustness. Her background spans backend engineering, performance benchmarking for App Engine Flex, and SRE tool standardization—skills that combine practical performance tuning with developer-friendly APIs. Based in Seattle and with roots in robotics research and stage operations, she brings a pragmatic, cross-disciplinary approach to solving production problems and mentoring teams.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Arts (B.A.), Computer Science, Bachelor of Arts (B.A.), Computer Science at Mount Holyoke College
High School Diploma, English Language and Literature, General, High School Diploma, English Language and Literature, General at High School for Gifted Students, Hanoi University of Education
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at AIT-Budapest
FaaS (Function as a service) framework for writing portable Python functions
Role in this project:
Backend Developer
Contributions:3 releases, 18 reviews, 7 commits in 15 days
Contributions summary:Kayla significantly contributed to the functions-framework-python repository by implementing declarative function signatures and integrating cloudevent support. They refactored code, including renaming `cloudevent` to `cloud_event`, and added conformance tests to validate the declarative functions. The user also released pre-release versions and removed debug code, demonstrating a focus on enhancing functionality and stability of the framework.
Contributions:1 review, 5 commits, 5 PRs in 1 year
Contributions summary:Kayla primarily contributed to refactoring and updating Google Cloud Functions samples, focusing on declarative function signatures. Their work involved updating storage, pubsub, and HTTP samples, improving code structure and adhering to the project's sample guidelines. The user also addressed issues in error handling within the HTTP samples, which enhanced the robustness of the code. These contributions show a focus on improving the functionality and maintainability of serverless application code samples.
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