Katherine Bailey is a Staff Software Engineer with 15 years of experience building scalable web and AI-driven systems, currently leading engineering efforts at Shopify out of Old Toronto. She blends deep backend craftsmanship—evidenced by substantive contributions to Drupal core around request handling, caching, and architecture—with hands-on machine learning product leadership from roles as Principal Data Scientist and AI lead. Katherine has moved teams to modern workflows and cloud-native patterns, shipped real-time reporting and personalization engines in Go and AWS, and led data science strategy across product teams. Her career spans startups to global consultancies, giving her a pragmatic approach to shipping reliable systems under ambiguity. Notably, she speaks publicly on human-centered AI and has shaped both open-source projects and enterprise ML deployments.
15 years of coding experience
13 years of employment as a software developer
Bachelor of Arts, International Marketing with German and French, Bachelor of Arts, International Marketing with German and French at Dublin City University
Verbatim mirror of the git.drupal.org repository for Drupal core. Please see the https://github.com/drupal/drupal#contributing. PRs are not accepted on GitHub.
Role in this project:
Back-end Developer
Contributions:43 commits in 4 months
Contributions summary:Katherine primarily focused on back-end development, contributing significantly to the Drupal core. Their work involved implementing a ResponseSubscriber for caching and other end-of-request tasks, and integrating a request object within the core codebase. They also addressed content negotiation, and refactored the DrupalBundle class. These changes reflect a focus on improving the core framework's performance, request handling, and overall architecture.
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