Sravanthi Sunnam

ISTQB certified QA Automation Engineer with 5 years of experience delivering scalable test automation solutions across web, and API platforms within Agile environments. Skilled in Python, robot Framework, Selenium, API testing, and CI/CD integration using GitHub Actions, with a proven track record of achieving 90% regression coverage and reducing production defects by 30%. Strong collaborator with experience improving test strategy, supporting shift-left quality practices, and helping teams deliver reliable, high-performing software with greater release confidence.

QA Automation Engineer at Blueface, A Comcast Business Company (2022-03 – 2024-05)

• Designed and enhanced scalable automation frameworks for web and API platforms using Python, Robot Frameworks, achieving 90% automated regression coverage and reducing manual testing effort by 30%.
• Integrated automated regression suites into CI/CD pipelines using GitHub Actions, improving release reliability, accelerating feedback cycles, and reducing production defects by 30%.
• Partnered with developers, product owners, and business analysts to define acceptance criteria, improve testability, and support shift-left practices across Agile delivery teams.
• Performed API testing using Postman and Swagger documentation to validate endpoints, request and response flows, and service integrations.
• Executed functional, integration, regression across web and mobile applications, identifying high-risk defects early in the release cycle.
• Analysed application logs, traces, and failed test executions to perform root cause analysis, reducing defect resolution time by 20%.
• Executed pre-deployment and post-deployment smoke testing activities to validate production readiness and minimise release risk.
• Contributed to sprint planning, backlog refinement, and estimation discussions, ensuring quality considerations were addressed throughout the SDLC.

Test Engineer at Ideative Digital Private Limited (2016-06 – 2019-02)

• Built and maintained over 700 automated UI test cases using Selenium WebDriver, Python, and Pytest BDD, reducing regression execution time by 30%.
• Integrated automated suites into Jenkins CI/CD pipelines, improving release stability by 40% and enabling faster defect detection.
• Performed end-to-end, integration, and UAT testing across web applications, identifying 90% of critical defects before release and improving overall product quality.
• Conducted SQL-based backend data validation, reducing data -related production defects by 30%.
• Executed cross browser testing to ensure consistent functionality and user experience across multiple environments.
• Worked closely with developers and product owners to validate requirements, define test scenarios, and improve test coverage.
• Identified high-risk defects early through risk-based testing and proactive quality analysis, improving release confidence and software stability.
• Assisted with sprint estimations and test planning activities, improving delivery predictability within Agile teams.

Master of Science in Data Analytics – Dublin Business School (2020)

Bachelors in Mathematics, Statistics & Computer Science – Loyola Academy Degree & PG College (2016)