An experienced Automation Architect , I have demonstrated skills in creating and maintaining large scale test data frameworks to support test automation. With over 15 years of experience using a variety of automation tools, including Selenium components (WebDriver, Grid, etc.), Playwright, UiPath, Power Automate, Gherkin, Specflow, and MSTest, I have a strong foundation in automation testing. Additionally, I am proficient in C# programming language and I am experienced with coding best practices and defining coding guidelines. My expertise extends to developing automation frameworks from scratch, built for UI, Mobile App and API testing and integration with CI pipelines. I have experience using CI tools like TeamCity, Azure DevOps and Bamboo, and I am highly skilled in context-driven and exploratory testing, with practical experience using a number of testing heuristics. I have a deep understanding of the latest testing and technology trends and I leverage this knowledge to continuously improve daily practices. Additionally, I am experienced with leading a team of QAs to achieve product and business goals, and I have the ability to work effectively within a release train in a fast-paced environment. Direct experience applying AI frameworks and tools in automation projects: Extended MCP Playwright frameworks to enable dynamic test script generation using AI models, integrating them into Azure DevOps pipelines to automate smoke and regression testing across multiple environments. Implemented Retrieval-Augmented Generation (RAG) workflows to automatically generate and validate test data by combining project-specific knowledge bases with LLMs, improving data accuracy for critical functional tests. Developed conversational AI workflows using RASA, allowing test teams to execute and monitor test runs through natural language commands in chat platforms (e.g., Slack), reducing manual coordination overhead. Configured and integrated Azure Cognitive Services and ElevenLabs speech APIs to add voice command capabilities to internal test tools, enabling voice-triggered test execution and reporting for accessibility and ease of use. Set up and operated local large language models using Ollama, deploying models like Claude, Mistral, and DeepSeek to generate test cases, validate responses, and assist in automated code reviews in secure offline environments. Created reusable GenAI-powered accelerators and services (e.g., using Devstral) for functional testing automation, large-scale database validation, and intelligent API testing with automatically generated assertions and test coverage insights.