
Over three months, JD Ohan developed robust testing and onboarding solutions for NYPL’s digital-collections and drb-etl-pipeline repositories. He established a load testing infrastructure using Python and Locust, enabling CI-ready performance testing and capacity planning. In drb-etl-pipeline, JD introduced Playwright-based smoke tests and a page object model to improve UI reliability and test maintainability. He also consolidated onboarding documentation, clarifying backend SQL script usage and frontend dependency setup, which reduced friction for new contributors. JD’s work emphasized maintainable test automation, clear documentation, and reproducible workflows, resulting in deeper QA coverage and more efficient onboarding for both backend and frontend teams.

February 2026 monthly summary for NYPL/drb-etl-pipeline focusing on onboarding/documentation improvements to reduce setup friction and accelerate contribution. Delivered consolidated onboarding documentation covering backend user creation script usage and SQL insert formatting, and frontend setup instructions clarifying dependency installation and testing credentials. Changes are anchored by two commits for traceability and reproducibility, enabling faster onboarding and more consistent local/dev environments.
February 2026 monthly summary for NYPL/drb-etl-pipeline focusing on onboarding/documentation improvements to reduce setup friction and accelerate contribution. Delivered consolidated onboarding documentation covering backend user creation script usage and SQL insert formatting, and frontend setup instructions clarifying dependency installation and testing credentials. Changes are anchored by two commits for traceability and reproducibility, enabling faster onboarding and more consistent local/dev environments.
January 2026 monthly summary for NYPL/drb-etl-pipeline: Implemented quality assurance improvements for the Research Assistant Landing Page, including smoke tests, a dedicated page object model, and documentation enhancements. These changes increase UI reliability, accelerate release validation, and improve onboarding for testers.
January 2026 monthly summary for NYPL/drb-etl-pipeline: Implemented quality assurance improvements for the Research Assistant Landing Page, including smoke tests, a dedicated page object model, and documentation enhancements. These changes increase UI reliability, accelerate release validation, and improve onboarding for testers.
December 2025 performance summary for NYPL development teams. Focused on building robust test infrastructure, improving test script quality, and enabling flexible test execution across two repositories. The work delivers measurable business value by increasing testing coverage, reducing CI bottlenecks, and improving release confidence.
December 2025 performance summary for NYPL development teams. Focused on building robust test infrastructure, improving test script quality, and enabling flexible test execution across two repositories. The work delivers measurable business value by increasing testing coverage, reducing CI bottlenecks, and improving release confidence.
Overview of all repositories you've contributed to across your timeline