Keeton Hodgson is a Co-Founder and CTO with 10 years of experience building cloud-native and serverless systems, currently leading product and engineering at Second Chair AI. He previously helped ship foundational work on AWS Lambda and AWS SAM at Amazon, contributing to distributed caching for container support and abstractions that power serverless CloudFormation resources. At Leland he applied that backend and platform expertise to marketplace-scale problems, and his open-source contributions to the widely used aws/serverless-application-model repo reflect a focus on CI, testing, and developer experience. With a Computer Engineering honors degree from the University of Utah and early research in DNA sequencing accelerators, he blends systems-level rigor with an appetite for AI productization. Colleagues describe him as a pragmatic builder who improves both code and documentation, quietly driving reliability and developer productivity.
The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.
Role in this project:
Backend & DevOps Engineer
Contributions:10 releases, 114 commits, 278 PRs in 3 years 10 months
Contributions summary:Keeton primarily contributed to the project by addressing issues related to continuous integration (CI) and testing. They updated test configurations, patched dependencies, and fixed various bugs within the test suite. Additionally, the user made modifications to documentation and corrected grammatical errors, indicating a focus on improving the quality of the codebase and its associated documentation. The user also updated the version number, and added support for Conditions.
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