Payton Garland is a founding engineer based in New York with nine years of experience building identity, data infrastructure, and web3 systems. He holds a BS in Computer Science and Mathematics from UW–Madison and has applied that dual background to production-grade backend work at companies like Affirm and early-stage startups. Payton contributes to open source projects that secure and extract metadata from media—his work on an AWS CloudFront Lambda@Edge auth function demonstrates hands-on expertise with JWTs and multi-provider auth integrations. At Privy he focuses on identity and infrastructure, and his prior co-founding work in blockchain shows a pattern of translating research-grade ideas into product experiments. Known for pragmatic, security-minded engineering, he brings both deep systems knowledge and a penchant for practical tooling that bridges data, identity, and decentralized technologies.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.) Mathematics and Computer Science, Bachelor of Science (B.S.) Mathematics and Computer Science at University of Wisconsin-Madison
An AWS CloudFront Lambda@Edge function to authenticate requests using Google Apps, Microsoft, Auth0, OKTA, and GitHub login
Role in this project:
Backend Developer
Contributions:2 releases, 1 review, 101 commits in 2 years 9 months
Contributions summary:Payton primarily contributed to the backend logic of the cloudfront-auth repository. Their commits demonstrate a focus on implementing and refining the authentication process using JWTs. The user made changes to enhance JWT verification, handle errors, and integrate with various authentication providers such as Google and Azure AD by modifying index.js and related files. They also introduced features like the handling of nonces and the refactoring of code to ensure a secure implementation.
Extracts Exif, IPTC, XMP, ICC and other metadata from image, video and audio files
Role in this project:
Back-end Developer
Contributions:42 commits, 30 PRs, 5 pushes in 1 year 8 months
Contributions summary:Payton primarily contributed to enhancing the `metadata-extractor` project by adding support for extracting metadata from various file types. Their work included implementing methods to handle container file types and extracting specific data for formats such as AVI, WAV, and WebP. They also focused on extracting information such as file type and MIME type and converting the duration data to descriptors.
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