AJ Kerrigan is a Solutions Architect with 13 years of experience designing and delivering cloud-native, security-minded infrastructure across enterprises in the New York City area. Currently at Stacklet, he blends hands-on engineering with architecture to help organizations operationalize cloud governance and policy as code. His background includes senior cloud engineering at Medidata and long-tenured systems and development work at Chubb, giving him deep operational expertise across legacy and modern platforms. An active open-source contributor, AJ has improved testing infrastructure and data loaders in the popular VisiData project and implemented core features and AWS service support in Cloud Custodian, demonstrating a focus on code quality, cloud security, and automation. He combines pragmatic problem-solving with a knack for tightening testing and deployment workflows, often surfacing subtle bugs and edge-case fixes that improve reliability. Colleagues rely on him to translate complex compliance and cloud challenges into auditable, repeatable solutions.
Rules engine for cloud security, cost optimization, and governance, DSL in yaml for policies to query, filter, and take actions on resources
Role in this project:
Backend & DevOps Engineer
Contributions:657 reviews, 92 commits, 339 PRs in 2 years 2 months
Contributions summary:AJ contributed to the core functionality of the cloud-custodian project by implementing features, fixing bugs, and optimizing existing code. They added a delete-inline-policies action for IAM groups and implemented support for AWS API Gateway client certificates. Further, they made various improvements to the filter and action implementations across multiple AWS services, including SQS, RDS, and KMS. The user also worked on adding support for Python 3.12 runtime and improved code for the CLI.
A terminal spreadsheet multitool for discovering and arranging data
Role in this project:
Full-stack Developer
Contributions:16 reviews, 58 commits, 51 PRs in 2 years 7 months
Contributions summary:AJ significantly improved the testing infrastructure by migrating unit tests to pytest and refactoring test setup logic into a shared fixture. They also enhanced the functionality and flexibility of the `vfake` plugin by allowing the loading of additional provider classes. Furthermore, the user addressed several bugs and implemented features in the data loading and handling components, including improved JSON and Pandas loaders, and fixed issues related to sheet naming and zip file handling. Their work demonstrates a strong focus on improving code quality, expanding functionality, and fixing bugs within the core VisiData application.
csvpythontuireconciliationcli
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