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QA Automation Engineer with 4+ years in Selenium WebDriver & CI/CD-integrated test automation
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Results-driven Automation QA Engineer / SDET with 3+ years at Tata Consultancy Services, specialising in Selenium WebDriver, Robot Framework and CI/CD-integrated test automation. Developed test strategies and test plans that reduced manual testing effort by 60% and improved release quality in Agile/Scrum environments. Proficient in Java, Python, SQL, Cucumber BDD, Jenkins, Azure DevOps, JIRA, Maven and AI-assisted tooling including GitHub Copilot and prompt engineering to accelerate delivery and improve code quality.
Muthayammal Engineering College
Bachelor of Engineering
N/A – January 1, 2019
Tata Consultancy Services
Automation Test Engineer
May 1, 2022 – Present
Bengaluru, Karnataka, India
AI-Assisted CI Test Failure Analysis Framework
June 17, 2026 – Present
Built AI-powered pytest failure analysis and reporting framework, reducing manual triage time by 50% and mean-time-to-fix (MTTF) by 40%. Integrated Azure DevOps pipelines with Telegram bot for real-time monitoring and implemented webhook-based communication with microservices.
Microsoft Azure Administrator Certification AZ-104
Microsoft
January 1, 2023 – Present
Databricks Data Engineering Associate Certification
Databricks
January 1, 2023 – January 1, 2025
Cultural Fit Analysis
The candidate's experience across various automation tools and methodologies (Selenium, Robot Framework, Playwright, Cucumber BDD, TestNG, REST Assured) indicates adaptability and a broad technical interest. Their involvement in mentoring and collaboration within Agile teams suggests a team-oriented approach. The personal project and certifications demonstrate a proactive learning attitude and a commitment to continuous improvement, which aligns well with a dynamic technical culture.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile/Scrum teams, mentoring junior engineers, and managing version control for stable releases. Their focus on reducing manual effort, improving release efficiency, and defect escape rates indicates a results-driven and quality-focused mindset. The personal project involving AI-assisted failure analysis further highlights initiative and problem-solving skills.