
Irina Kartun developed and maintained a robust end-to-end testing framework for the epam/ai-dial-chat repository, focusing on critical user flows such as chat, marketplace, publishing, and sharing features. She engineered comprehensive test suites using TypeScript, JavaScript, and Playwright, refactoring utilities and assertions to improve reliability and reduce flakiness. Her work included expanding API test coverage for new GPT models, stabilizing CI pipelines, and enhancing test data management. By addressing edge cases and automating complex UI interactions, Irina enabled faster, safer releases and reduced regression risk, demonstrating depth in test automation, configuration management, and continuous integration for large-scale web applications.

October 2025: Strengthened end-to-end quality and CI reliability for epam/ai-dial-chat through focused test coverage and infrastructure improvements. Key features delivered include comprehensive E2E coverage for Chat header context menu and shared dots menu flows (duplicate, export, replay, publish, replay, unsharing) and for the Application editor and External Apps flows, plus robust testing infrastructure enhancements and CI/test data improvements. No major bugs were recorded this month; the emphasis was on stabilizing tests, improving data handling, and refining prompts for CI tests. Overall impact: higher release confidence, earlier regression detection, and faster feedback loops for chat and app experiences. Technologies/skills demonstrated: end-to-end test automation, test infrastructure evolution, CI pipeline improvements, data-driven test design, and test data management.
October 2025: Strengthened end-to-end quality and CI reliability for epam/ai-dial-chat through focused test coverage and infrastructure improvements. Key features delivered include comprehensive E2E coverage for Chat header context menu and shared dots menu flows (duplicate, export, replay, publish, replay, unsharing) and for the Application editor and External Apps flows, plus robust testing infrastructure enhancements and CI/test data improvements. No major bugs were recorded this month; the emphasis was on stabilizing tests, improving data handling, and refining prompts for CI tests. Overall impact: higher release confidence, earlier regression detection, and faster feedback loops for chat and app experiences. Technologies/skills demonstrated: end-to-end test automation, test infrastructure evolution, CI pipeline improvements, data-driven test design, and test data management.
September 2025 monthly summary for epam/ai-dial-chat: Expanded and stabilized end-to-end testing for the chat product and cleaned up CI/test environments to improve release confidence and reduce maintenance toil. Delivered a consolidated E2E test suite that covers conversation publishing rules, paste attachments, GPT-4.1-nano coverage, sharing workflows (including custom apps), header UI interactions, and QR code sharing, with targeted commits across six test scenarios. Cleaned CI/test configs by removing deprecated Claude tests and stability models, updating gitattributes, and improving LFS handling. Strengthened GCP E2E reliability by reducing flakiness through improved wait logic and validations for export/import and prompt management. Overall impact: higher test coverage, fewer flaky tests, streamlined CI, and faster feedback to product teams.
September 2025 monthly summary for epam/ai-dial-chat: Expanded and stabilized end-to-end testing for the chat product and cleaned up CI/test environments to improve release confidence and reduce maintenance toil. Delivered a consolidated E2E test suite that covers conversation publishing rules, paste attachments, GPT-4.1-nano coverage, sharing workflows (including custom apps), header UI interactions, and QR code sharing, with targeted commits across six test scenarios. Cleaned CI/test configs by removing deprecated Claude tests and stability models, updating gitattributes, and improving LFS handling. Strengthened GCP E2E reliability by reducing flakiness through improved wait logic and validations for export/import and prompt management. Overall impact: higher test coverage, fewer flaky tests, streamlined CI, and faster feedback to product teams.
Monthly summary for 2025-08 (epam/ai-dial-chat): Consolidated end-to-end testing improvements in the chat-e2e suite with model configuration maintenance, new unpublish workflows for custom apps, and substantial framework upgrades to broaden API test coverage for GPT models. These changes stabilize tests, improve coverage for new GPT APIs, and reduce regression risk in production deployments.
Monthly summary for 2025-08 (epam/ai-dial-chat): Consolidated end-to-end testing improvements in the chat-e2e suite with model configuration maintenance, new unpublish workflows for custom apps, and substantial framework upgrades to broaden API test coverage for GPT models. These changes stabilize tests, improve coverage for new GPT APIs, and reduce regression risk in production deployments.
July 2025: Strengthened release confidence and delivered foundational improvements to E2E testing and content publishing in epam/ai-dial-chat. The work reduced test noise, expanded critical flow coverage, and improved editor/publishing workflows, enabling faster, safer iterations across the product surface.
July 2025: Strengthened release confidence and delivered foundational improvements to E2E testing and content publishing in epam/ai-dial-chat. The work reduced test noise, expanded critical flow coverage, and improved editor/publishing workflows, enabling faster, safer iterations across the product surface.
Month: 2025-06 — Focused on expanding and stabilizing end-to-end testing for the epam/ai-dial-chat application. Delivered comprehensive E2E coverage for critical user flows (View Prompt, all agents, marketplace search, and related UI/custom app interactions). Refactored test utilities, added new assertions, and addressed edge cases to improve reliability, validate user-facing behavior, and accelerate high-quality releases. This work reduces release risk and enables faster iterations for product and engineering teams.
Month: 2025-06 — Focused on expanding and stabilizing end-to-end testing for the epam/ai-dial-chat application. Delivered comprehensive E2E coverage for critical user flows (View Prompt, all agents, marketplace search, and related UI/custom app interactions). Refactored test utilities, added new assertions, and addressed edge cases to improve reliability, validate user-facing behavior, and accelerate high-quality releases. This work reduces release risk and enables faster iterations for product and engineering teams.
May 2025 performance summary for epam/ai-dial-chat focusing on test automation and quality improvements across five feature areas. Delivered comprehensive end-to-end test coverage spanning Marketplace UX, error handling and isolated views, folder-based conversation management, bookmarking/app editor interactions, and chat/prompt information displays. Achieved 9 commits across 5 test areas, validating navigation, discovery, filtering, version selection, error guidance, UI state, folder events, and publish workflows. These efforts reduce regression risk, accelerate release readiness, and strengthen reliability for critical user flows.
May 2025 performance summary for epam/ai-dial-chat focusing on test automation and quality improvements across five feature areas. Delivered comprehensive end-to-end test coverage spanning Marketplace UX, error handling and isolated views, folder-based conversation management, bookmarking/app editor interactions, and chat/prompt information displays. Achieved 9 commits across 5 test areas, validating navigation, discovery, filtering, version selection, error guidance, UI state, folder events, and publish workflows. These efforts reduce regression risk, accelerate release readiness, and strengthen reliability for critical user flows.
April 2025 monthly summary for epam/ai-dial-chat: End-to-End Test Suite Overhaul across Marketplace, Chat, Attachments, and Sharing. Consolidated and refactored tests to improve reliability and coverage, introducing generalized waitForAppLoaded, new fixtures, and robust assertions for prompt previews, file selection UI, and sharing behaviors.
April 2025 monthly summary for epam/ai-dial-chat: End-to-End Test Suite Overhaul across Marketplace, Chat, Attachments, and Sharing. Consolidated and refactored tests to improve reliability and coverage, introducing generalized waitForAppLoaded, new fixtures, and robust assertions for prompt previews, file selection UI, and sharing behaviors.
March 2025 monthly summary for epam/ai-dial-chat focusing on end-to-end test coverage improvements, privacy/UI enhancements, and reliability upgrades to accelerate safe feature delivery and reduce post-release defects.
March 2025 monthly summary for epam/ai-dial-chat focusing on end-to-end test coverage improvements, privacy/UI enhancements, and reliability upgrades to accelerate safe feature delivery and reduce post-release defects.
February 2025: Delivered End-to-End Testing Enhancements for Chat Overlay and Workspace Search in epam/ai-dial-chat. Implemented comprehensive E2E tests for chat overlay events, workspace agent search, search filtering logic, and bookmarking workspace search. Improved fixtures, helpers, and data generation to robustly cover overlay interactions, search scenarios, and bookmarking workflows. These changes increase test coverage, reliability, and CI feedback speed.
February 2025: Delivered End-to-End Testing Enhancements for Chat Overlay and Workspace Search in epam/ai-dial-chat. Implemented comprehensive E2E tests for chat overlay events, workspace agent search, search filtering logic, and bookmarking workspace search. Improved fixtures, helpers, and data generation to robustly cover overlay interactions, search scenarios, and bookmarking workflows. These changes increase test coverage, reliability, and CI feedback speed.
January 2025 monthly work summary: Delivered a comprehensive end-to-end testing suite for the epam/ai-dial-chat project, expanding coverage to overlay settings, header stability, marketplace integration, chat settings, and publishing workflow. Refactored configuration to use a shared overlay host URL, improving reliability and consistency across environments. Implemented publish file tests and addressed flaky model image behavior to stabilize test results. The work increased test coverage, reduced regression risk, and enabled faster release readiness. Demonstrated automation, CI integration, and configuration management skills, delivering tangible business value through higher quality releases.
January 2025 monthly work summary: Delivered a comprehensive end-to-end testing suite for the epam/ai-dial-chat project, expanding coverage to overlay settings, header stability, marketplace integration, chat settings, and publishing workflow. Refactored configuration to use a shared overlay host URL, improving reliability and consistency across environments. Implemented publish file tests and addressed flaky model image behavior to stabilize test results. The work increased test coverage, reduced regression risk, and enabled faster release readiness. Demonstrated automation, CI integration, and configuration management skills, delivering tangible business value through higher quality releases.
December 2024 — Epam/ai-dial-chat: Delivered end-to-end unpublish for conversations and folders; added end-to-end support for message templates with replay; enhanced test infrastructure with an Overlay Sandbox and reliability improvements. No major bugs reported; stability and quality improved via broader test coverage and flaky-test reductions. Business impact: enables customers to better manage content lifecycle, enables templated, replayable conversation flows, and reduces release risk with stronger validation. Tech highlights: end-to-end testing, API/test helper adjustments, overlay sandbox, attachment visibility checks, and test automation.
December 2024 — Epam/ai-dial-chat: Delivered end-to-end unpublish for conversations and folders; added end-to-end support for message templates with replay; enhanced test infrastructure with an Overlay Sandbox and reliability improvements. No major bugs reported; stability and quality improved via broader test coverage and flaky-test reductions. Business impact: enables customers to better manage content lifecycle, enables templated, replayable conversation flows, and reduces release risk with stronger validation. Tech highlights: end-to-end testing, API/test helper adjustments, overlay sandbox, attachment visibility checks, and test automation.
Monthly summary for 2024-11 - epam/ai-dial-chat Key features delivered: - End-to-end testing framework refinements and broader coverage: updated user agents, improved assertion logic for chat messages and conversation states, workaround for chat loader visibility issues, and expanded coverage for recent models, attachments, UI assertions, and file-sharing/replay tests. Commits ceab0fe20ea70083fd76609fab0b4a378fc7023d and 5a745889e620d94abc2ce125f769bc7415311e8c. - End-to-end monitoring tests for core chat features: Playwright-based monitoring tests for conversation export/import, new conversation creation, prompt management (creation, editing, export/import, deletion), folder deletion with contents, conversation renaming, and sharing of conversations and prompts. Commit 4e1a6e0ca89840befaa140978202747310714b07. - End-to-end tests for publishing folder functionalities: tests for nested structures, various conversation types, and admin review workflows; refactored assertion classes for reusability and updated fixtures/test data to support broader coverage. Commit a92fc35d019d55b880d58a9a0eb8b24894e5a4f9. Major bugs fixed: - Implemented a workaround for intermittent chat loader visibility issues during E2E tests to stabilize test runs and reduce flakiness (coupled with the above framework enhancements). Overall impact and accomplishments: - Substantially increased end-to-end test coverage for core chat features, export/import workflows, folder publishing, and sharing flows. This drives faster feedback, lowers release risk, and improves confidence in production deployments. Technologies/skills demonstrated: - Playwright-based end-to-end testing, test automation patterns, test data management via fixtures, assertion refactors for reusability, and CI integration readiness.
Monthly summary for 2024-11 - epam/ai-dial-chat Key features delivered: - End-to-end testing framework refinements and broader coverage: updated user agents, improved assertion logic for chat messages and conversation states, workaround for chat loader visibility issues, and expanded coverage for recent models, attachments, UI assertions, and file-sharing/replay tests. Commits ceab0fe20ea70083fd76609fab0b4a378fc7023d and 5a745889e620d94abc2ce125f769bc7415311e8c. - End-to-end monitoring tests for core chat features: Playwright-based monitoring tests for conversation export/import, new conversation creation, prompt management (creation, editing, export/import, deletion), folder deletion with contents, conversation renaming, and sharing of conversations and prompts. Commit 4e1a6e0ca89840befaa140978202747310714b07. - End-to-end tests for publishing folder functionalities: tests for nested structures, various conversation types, and admin review workflows; refactored assertion classes for reusability and updated fixtures/test data to support broader coverage. Commit a92fc35d019d55b880d58a9a0eb8b24894e5a4f9. Major bugs fixed: - Implemented a workaround for intermittent chat loader visibility issues during E2E tests to stabilize test runs and reduce flakiness (coupled with the above framework enhancements). Overall impact and accomplishments: - Substantially increased end-to-end test coverage for core chat features, export/import workflows, folder publishing, and sharing flows. This drives faster feedback, lowers release risk, and improves confidence in production deployments. Technologies/skills demonstrated: - Playwright-based end-to-end testing, test automation patterns, test data management via fixtures, assertion refactors for reusability, and CI integration readiness.
Overview of all repositories you've contributed to across your timeline