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QA Automation Engineer with 4+ years in Selenium, API testing, and CI/CD
QA Automation Engineer with 4+ years of experience designing and maintaining Selenium-based automation frameworks for BFSI and Healthcare applications. Expertise in Java, Selenium WebDriver, TestNG, Cucumber BDD, SQL, API testing, and CI/CD integration using Jenkins and GitHub Actions. Proven track record of reducing regression effort through automation, improving release quality, and delivering scalable test solutions in Agile environments. AWS Certified Cloud Practitioner with hands-on experience building AI-driven, self-healing test automation frameworks.
Anil Neerukonda Institute of Technology and Sciences
Bachelor of Engineering (B.E.)
N/A – June 30, 2021
Tata Consultancy Services ( TCS )
QA Automation Engineer
May 1, 2022 – July 2, 2026
Bangalore Urban, Karnataka, India
AI-Powered Automation Testing Agent
June 1, 2026 – Present
• Designing and building an AI-assisted testing agent that integrates AI APIs to reduce test script failures and cut the time spent maintaining automation after UI changes. • Prototyping a self-healing locator mechanism that auto-detects and updates broken element locators on test failure, reducing maintenance effort caused by frequent UI changes. • Implementing AI-driven test case prioritisation logic to surface high-risk scenarios first, enabling faster quality feedback within CI/CD pipelines. • Designing modular, reusable automation components for dynamic UI handling, with planned integration into GitHub Actions for continuous, automated test execution.
AWS Certified Cloud Practitioner
Amazon Web Services
June 1, 2026 – Present
REST Assured API Testing, and BDD Cucumber
Udemy Software Testing Certification
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across BFSI and Healthcare domains, coupled with a personal project exploring AI in testing, indicates adaptability and a proactive learning mindset. Their involvement in mentoring and cross-functional collaboration (QA, Dev, Business) suggests a team-oriented approach. The breadth of skills (Java, Selenium, API testing, CI/CD, BDD, SQL, AWS) and certifications aligns well with a dynamic, technically driven QA automation environment. The self-initiated project also points to a strong sense of ownership and innovation, which are positive cultural indicators.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through mentoring junior engineers and working with business analysts on BDD feature files. Their achievements (On the Spot - Team Member, Star of the Month) highlight a proactive attitude, high performance, and collaborative contribution. The focus on reducing UAT translation time and improving onboarding speed indicates an operational mindset geared towards efficiency and team improvement. The personal project on AI-powered automation also shows initiative and a drive for innovation.