Aidan Crank
Member Of Technical Staff at Adapter
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolAidan Crank is an ML-focused software engineer with eight years of experience building production-grade computer vision and generative AI systems, currently shaping agentic backends for large-scale data ingestion and real-time contextual actions at Adapter. He previously applied LLMs and knowledge graphs at AWS and contributed to the AWS CDK open-source project by hardening IaC validation and improving core imports, reflecting strong back-end and DevOps chops. His background spans research-grade computer vision, EHR signal processing, and neuroscience imaging, giving him an unusual mix of domain rigor and systems engineering. Comfortable moving models from research to production, he blends deep learning expertise with practical infrastructure skills and a track record of proposal-led research and SBIR leadership. Based in Washington, DC, he pairs academic training from Johns Hopkins with hands-on cloud and open-source contributions.
8 years of coding experience
8 years of employment as a software developer
Johns Hopkins UniversitySpecialized program for high school students, Specialized program for high school students at Lehigh UniversityHigh School, High School at Stroudsburg High School
English
Github Skills (11)
infrastructure-as-code10
typescript10
service-catalog10
cloud-infrastructure10
typescripts10
aws10
typescript-types10
validation9
validations9
unit-testing9
cicd8
Programming languages (8)
Github contributions (5)
aws/aws-cdk
Jun 2021 - Apr 2022
The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:318 reviews, 16 commits, 20 PRs in 10 months
Contributions summary:Aidan primarily contributed to the `aws/aws-cdk` repository by fixing validation issues related to service catalog features. They implemented checks for tokens in portfolio properties, addressing potential errors. Additionally, the user worked on setting up and testing the features, including running build, lint, and test commands. The user also made improvements by moving core to qualified import for better consistency.
development-kitaws-cloudcloud-infrastructureinfrastructurecloud-development
arcrank/aws-cdk
Jul 2021 - Mar 2022
The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
Contributions:25 commits, 5 PRs, 160 pushes in 8 months
development-kitcost-optimizationaws-cloudcloud-infrastructureinfrastructure
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