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AI QA Engineer with 3+ years in Automation and AI Testing.
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End-to-End AI QA Engineer with over 3 years of experience in manual and automation testing across consumer mobile applications and life sciences data platforms. Expert in developing robust Selenium/Java frameworks and validating Agentic AI systems, including the verification of AI-generated SQL outputs and complex test logic. Proven track record in executing comprehensive API testing with Postman, conducting backend data validation using SQL. Adept at leading Proof of Concept (POC) initiatives to evaluate AI efficiency and optimizing AI-driven workflows to match real-world application behavior.
Eluru College Of Engineering And Technology
Bachelor of Technology · Electrical and Electronics Engineering
N/A – June 30, 2022
HCL Technologies
Software Test Engineer
February 1, 2023 – Present
Hyderābād, Telangana, India
D4U Application - Life Sciences Data Platform (Johnson & Johnson)
July 1, 2025 – June 30, 2026
Served as an End-to-End QA Engineer validating UI, API, and backend components for a critical data platform. Tested Agentic AI-based SQL query generation, ensuring outputs align strictly with complex business rules. Designed and executed SIT test cases for AI-driven data pipelines and complex workflows. Led POC activities for new AI features; transitioned from Analytical Monitor to actively supporting existing modules and Agentic AI-integrated modules post-POC completion.
Lifepoints Application – Market research & Consumer rewards application Mobile App (Kantar)
March 1, 2025 – June 30, 2025
Executed a POC utilizing the AI Force Tool for advanced automation. Integrated AI-generated scripts into the existing framework and optimized them to match specific application behaviors. Evaluated AI efficiency, significantly reducing efforts required for manual test design and automation.
Shop and Scan Application – Market research & Consumer panel app(Kantar)
May 1, 2023 – February 28, 2025
Automated regression suites for Login, Registration, and Profile modules using Selenium/Java. Managed technical challenges including dynamic web elements, cookie pop-ups, and synchronization issues. Supported CI/CD execution via Jenkins to ensure continuous quality delivery.
Cultural Fit Analysis
The candidate has experience across diverse applications (market research, consumer rewards, life sciences data platforms) and has worked on projects involving cutting-edge AI technologies. This diversity, combined with a focus on optimizing workflows and leading POCs, suggests an adaptable and growth-oriented mindset, which generally aligns well with dynamic, innovation-driven cultures. The experience with Agentic AI and AI-generated scripts indicates a willingness to engage with advanced technical challenges.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to evaluating new tools (AI Force Tool) and leading POCs, suggesting a good fit for innovation and problem-solving within an operational context. Collaboration with cross-functional Agile teams is also mentioned, indicating teamwork capabilities. However, the resume does not provide explicit details on communication style or conflict resolution, which are key soft skills.