
Piotr worked on the rodekruis/IBF-system repository, delivering robust end-to-end test automation and UI validation for critical user and admin workflows. Over five months, he expanded and refactored Playwright-based test suites, focusing on map components, chat features, and admin navigation to improve release safety and traceability. Using TypeScript and JavaScript, he implemented asynchronous handling, test data management, and CI/CD integration with Azure DevOps, reducing flakiness and accelerating feedback cycles. His work included migrating test infrastructure, enhancing debugging, and aligning test coverage with business flows. The result was a maintainable, reliable testing framework that supported safer, faster deployments and clearer quality assurance.

March 2025: Delivered core user-facing capabilities in IBF-system with a strong emphasis on end-to-end reliability, admin workflows, and a scalable testing framework. Focused on business value through improved user flows, admin access, and robust test coverage to accelerate safe releases.
March 2025: Delivered core user-facing capabilities in IBF-system with a strong emphasis on end-to-end reliability, admin workflows, and a scalable testing framework. Focused on business value through improved user flows, admin access, and robust test coverage to accelerate safe releases.
February 2025: Delivered a robust test automation foundation and targeted stability improvements for rodekruis/IBF-system. Key work included migrating the test infrastructure from Qase to Azure test runner, adding new tests and extended timeline assertions with await helpers, and enhancing debugging and logging. Implemented waitForMapToBeLoaded and conditional validations, tightened timeouts, and fixed UI selectors to reduce flaky tests. Improved asynchronous coverage with additional awaits and corrected assertion scopes. Cleaned up obsolete feature files, addressed API naming inconsistencies, and applied PR-review improvements to elevate code quality. Result: more reliable CI, faster feedback cycles, and clearer debugging artifacts, enabling safer deployments and more maintainable tests.
February 2025: Delivered a robust test automation foundation and targeted stability improvements for rodekruis/IBF-system. Key work included migrating the test infrastructure from Qase to Azure test runner, adding new tests and extended timeline assertions with await helpers, and enhancing debugging and logging. Implemented waitForMapToBeLoaded and conditional validations, tightened timeouts, and fixed UI selectors to reduce flaky tests. Improved asynchronous coverage with additional awaits and corrected assertion scopes. Cleaned up obsolete feature files, addressed API naming inconsistencies, and applied PR-review improvements to elevate code quality. Result: more reliable CI, faster feedback cycles, and clearer debugging artifacts, enabling safer deployments and more maintainable tests.
January 2025: End-to-end testing for rodekruis/IBF-system was restructured and stabilized to improve reliability, readability, and CI feedback loops. Activities focused on organizing test suites, hardening reliability, refactoring for maintainability, and aligning test data/test-ids with DevOps expectations, while adding coverage for disaster scenarios and rebase-driven tests. Result: faster, less flaky tests and clearer mapping between test coverage and business flows.
January 2025: End-to-end testing for rodekruis/IBF-system was restructured and stabilized to improve reliability, readability, and CI feedback loops. Activities focused on organizing test suites, hardening reliability, refactoring for maintainability, and aligning test data/test-ids with DevOps expectations, while adding coverage for disaster scenarios and rebase-driven tests. Result: faster, less flaky tests and clearer mapping between test coverage and business flows.
December 2024: Strengthened end-to-end test coverage for the IBF-system frontend with a focus on reliability, visibility, and traceability. Key deliverables include: Map Component End-to-End Validation and Legend Layer Testing (layer validation utilities, expanded tests for map layer visibility such as Flood extent and Exposed population, and GloFAS markers under flood triggers; removal of redundant tests); Aggregates and Trigger-State UI Testing and QA Traceability (end-to-end tests with non-zero counts, header color validation, test IDs, CSS-based color checks, and Qase traceability); Chat Component End-to-End Testing Enhancements (extended tests for parity with aggregates, button states, and popover validation). Impact: improved test quality, reduced CI flakiness, faster feedback to developers, and better alignment with business risk reduction. Technologies/skills: end-to-end testing, UI test automation, test ID strategy, CSS-based visual validation, Qase integration, and test suite optimization.
December 2024: Strengthened end-to-end test coverage for the IBF-system frontend with a focus on reliability, visibility, and traceability. Key deliverables include: Map Component End-to-End Validation and Legend Layer Testing (layer validation utilities, expanded tests for map layer visibility such as Flood extent and Exposed population, and GloFAS markers under flood triggers; removal of redundant tests); Aggregates and Trigger-State UI Testing and QA Traceability (end-to-end tests with non-zero counts, header color validation, test IDs, CSS-based color checks, and Qase traceability); Chat Component End-to-End Testing Enhancements (extended tests for parity with aggregates, button states, and popover validation). Impact: improved test quality, reduced CI flakiness, faster feedback to developers, and better alignment with business risk reduction. Technologies/skills: end-to-end testing, UI test automation, test ID strategy, CSS-based visual validation, Qase integration, and test suite optimization.
November 2024: Expanded end-to-end test coverage for the IBF-system map UI focusing on GloFAS markers and dynamic legend content, added robust UI assertions for layer controls, and validated alert threshold features. In parallel, cleaned test output, fixed flaky waits, standardized file naming, and applied PR-review-driven test adjustments. Impact: reduced release risk by catching UI/legend edge cases earlier, improved test reliability and maintainability, and demonstrated expertise in test automation, refactoring, and quality engineering.
November 2024: Expanded end-to-end test coverage for the IBF-system map UI focusing on GloFAS markers and dynamic legend content, added robust UI assertions for layer controls, and validated alert threshold features. In parallel, cleaned test output, fixed flaky waits, standardized file naming, and applied PR-review-driven test adjustments. Impact: reduced release risk by catching UI/legend edge cases earlier, improved test reliability and maintainability, and demonstrated expertise in test automation, refactoring, and quality engineering.
Overview of all repositories you've contributed to across your timeline