Austin Garrard
Software Engineer at RelationalAI
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolAustin Garrard is a software engineer with 11 years of full-stack and infrastructure experience, currently building cloud-native systems at RelationalAI after serving as a Lead Consultant at Thoughtworks. He blends front-end React/Next.js work with backend services and SRE practices across Kubernetes, GCP, and AWS, and has hands-on experience with Terraform, Helm, Prometheus, and observability stacks. Notable open-source contributions include implementing AWS EBS usage and UI components for the well-regarded Cloud Carbon Footprint project, reflecting a practical interest in cloud sustainability. Comfortable in cross-functional, agile teams, he pairs pragmatic engineering with systems thinking to deliver measurable outcomes across media streaming, OLAP, biotech, and search domains. Based in Atlanta, he holds a BS in Computer Engineering from Texas A&M and brings a track record of refactoring legacy systems into maintainable, production-ready platforms.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science (BS) Computer Engineering, Bachelor of Science (BS) Computer Engineering at Texas A&M UniversityWestlake High School
English
Github Skills (13)
carbon-emissions10
footprint10
aws10
jestjs10
cloud-computing10
jtest10
jes10
typescript-types9
react9
apidoc9
typescript9
api9
typescripts9
Programming languages (6)
Github contributions (5)
cloud-carbon-footprint/cloud-carbon-footprint
Jul 2020 - Mar 2022
Cloud Carbon Footprint is a tool to estimate energy use (kilowatt-hours) and carbon emissions (metric tons CO2e) from public cloud usage
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:77 commits, 2 PRs, 3 comments in 1 year 8 months
Contributions summary:Austin contributed to the development of the cloud carbon footprint tool by implementing various AWS API calls for EBS usage and estimating carbon emissions. The contributions include developing and testing an AWS client and its interaction with a controller for obtaining and processing EBS usage data. The user also re-organized files, refactored code, and implemented the frontend UI components to display the data.
climatepythonfootprintcloudemissions
translation-cards/txc-maker
Jun 2016 - Oct 2016
Contributions:12 PRs, 89 pushes, 6 branches in 4 months
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