Chuly Gudina Gurara

As a Senior QA Automation & Performance Engineer, I led enterprise-level quality initiatives supporting Epic and healthcare platform integrations. I architected hybrid automation frameworks using Selenium, Playwright, and UiPath, and introduced CI/CD test automation via Jenkins and Azure DevOps to streamline deployments and reduce regression cycles by 40%. My role extended into performance engineering, where I designed and executed load, stress, and endurance tests using JMeter, LoadRunner, and Neoload, enhancing application scalability and improving transaction response times by 25%. I also collaborated closely with DevOps teams to integrate performance monitoring (Grafana, Splunk) into CI/CD pipelines for early defect detection. Beyond engineering, I drove QA strategy and governance across distributed teams, mentoring engineers and standardizing frameworks to improve automation reusability by 45%. I partnered with RPA teams to deploy UiPath-based validation bots, cutting manual verification time by 50%, and ensured HIPAA and 508 accessibility compliance across enterprise healthcare modules. Key Highlights: • Reduced post-release defects by 30% through shift-left QA adoption • Improved CI/CD reliability and deployment speed by 30% • Delivered actionable QA dashboards in Power BI for executive visibility

As a QA Automation Engineer, I developed and maintained Selenium and Playwright frameworks (Java, TypeScript) to improve automation coverage and reduce manual testing time across claims and patient management systems. I integrated automation into Jenkins and GitHub Actions, enabling continuous regression testing and reducing build failures by 25%. I collaborated with cross-functional teams in Agile environments, applying BDD/TDD principles to align test automation with business requirements. Additionally, I contributed to performance testing efforts using JMeter and LoadRunner to identify system bottlenecks and validate scalability before go-live. My work ensured test coverage consistency, improved data validation across APIs, and strengthened release readiness through detailed reporting and test analytics. Key Highlights: • Improved test coverage by 40% and accelerated regression cycles • Strengthened CI/CD automation stability and delivery accuracy • Supported performance baselines and analysis for major system upgrades