Keeton Hodgson

Co-Founder And CTO at Second Chair.ai

McLean, Virginia, United States
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Summary

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Rockstar
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Top School
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.
code10 years of coding experience
job8 years of employment as a software developer
bookThe University of Utah
languagesEnglish
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Stackoverflow

Stats
477reputation
19kreached
11answers
0questions
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Github Skills (15)

serverless10
aws-sam10
aws10
cicd10
testing10
python9
boto9
aws-lambda6
amazon-dynamodb6
aws-serverless6
amazon-cloudwatch6
aws-sam-cli6
serverless-application-model6
aws-cloudformation6
amazon-web-services6

Programming languages (6)

TypeScriptC++RustMakefileJavaScriptPython

Github contributions (5)

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The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.
Role in this project:
userBackend & 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.
aws-cloudformationaws-serverless-application-modelserverless-application-modelserverless-applicationsaws-serverless
AWS Serverless Application Model (AWS SAM) prescribes rules for expressing Serverless applications on AWS.
Contributions:4 PRs, 144 pushes, 123 branches in 1 year 8 months
aws-serverless-application-modelaws-serverlessserverless-application-modelserverless-applicationsserverless
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