Hunter Werlla is a Staff Software Engineer with 11 years of experience building scalable CI/CD and cloud tooling for AI/ML and device software at Apple, AWS, and Microsoft. He blends deep backend systems work—improving on-device ML pipelines, Snowball device onboarding, and CI/CD for embedded OS—with hands-on full-stack contributions to prominent open-source projects like the AWS Toolkits for VS Code, Eclipse, and JetBrains. Known for shrinking complex delivery timelines (e.g., cutting device onboarding from months to weeks) and shipping measurable product growth, he focuses on reliability, automation, and developer experience. Based in Seattle, he enjoys solving unique challenges and brings a pragmatic, code-first approach evidenced by significant open-source PRs and tooling refactors.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at The University of Texas at Dallas
AWS Toolkit for JetBrains - a plugin for interacting with AWS from JetBrains IDEs
Role in this project:
Backend Developer
Contributions:1 release, 629 reviews, 426 commits in 1 year 8 months
Contributions summary:Hunter primarily worked on backend code, focused on improving the `ExecutableManager` class and adding functionalities to the `ExecutableInstance.Executable` class. The contributions included bug fixes, such as resolving issues with invalid files, and implementing enhancements, like adding the `getCommandLine` function. The user also addressed issues with the performance and handling of environment variables. The user's contributions appear focused on enhancing the core functionality and reliability of the AWS Toolkit for JetBrains.
AWS Toolkit for Eclipse – an open-source plugin for developing, deploying, and managing AWS applications.
Role in this project:
Full-stack Developer
Contributions:2 reviews, 70 commits, 31 PRs in 1 month
Contributions summary:Hunter primarily contributed to the AWS Toolkit for Eclipse plugin by addressing build instructions, updating lambda timeouts, and integrating a TravisCI build. They made code modifications in the core, lambda, and EC2 modules, indicating a full-stack involvement. The user also worked on cleaning up telemetry clients, adding new telemetry features, and modifying AWS S3 actions, further demonstrating a broad understanding of the project's functionalities.
deployingcodecommitec2developingaws-lambda
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