Bengaluru, Karnataka, India
AI Quality Engineer | QA Automation | GenAI & LLM Testing | SDET Quality Engineer with 2.8+ years of experience in enterprise web and mobile application testing, automation engineering, and AI-driven quality assurance. I specialize in designing scalable test frameworks and validating intelligent applications using modern automation and Generative AI technologies. My expertise spans Playwright (TypeScript), API Automation, Database Testing, SQL, Postman, RestAssured, Jenkins, Docker, AWS, CI/CD pipelines, and Performance Testing. I have led end-to-end quality engineering for enterprise SaaS platforms by building robust UI and API regression suites, validating backend data integrity, and ensuring reliable software delivery across Agile release cycles. My passion lies in AI Quality Engineering, where I focus on validating LLM-powered applications, GenAI workflows, AI copilots, and intelligent automation systems. I work on prompt and response validation, AI output evaluation, RAG pipeline validation, context and grounding verification, hallucination detection, functional testing of AI features, and end-to-end quality assurance for AI-enabled applications. I actively leverage Claude, GitHub Copilot, Cursor IDE, MCP integrations, and n8n workflows to accelerate test development, automate repetitive QA activities, and improve engineering productivity. I also perform API contract testing, performance benchmarking using Grafana k6, backend validation through SQL, and CI/CD-driven continuous testing to ensure scalable and resilient software systems. Passionate about combining Artificial Intelligence, Cloud, Automation, and Quality Engineering, I enjoy building intelligent testing strategies that improve software reliability and accelerate product delivery. I am always open to connecting with professionals in AI Testing, LLM Evaluation, QA Automation, SDET, GenAI, and Quality Engineering to exchange ideas, collaborate on innovation, and explore new opportunities.
Test Automation: Designed and maintained a Playwright (TypeScript) framework with Page Object Model for UI regression testing, covering key workflows (bulk uploads, asset mapping, versioning). API & Backend Testing: Built end-to-end API test suites (Postman, RestAssured) for microservices, validating endpoints and business logic of the financial platform. Database Validation: Created SQL scripts to verify transaction accuracy and data integrity across the PostgreSQL/MySQL backend. Ensured investor/shareholder data consistency after each release. CI/CD & Performance: Integrated test suites into Jenkins CI pipelines; dockerized test environments for consistency. Ran baseline performance tests with Grafana k6 to catch scalability issues early. AI-Enhanced QA: Leveraged AI coding assistants (Claude Code, GitHub Copilot, Cursor IDE) and automation tools (n8n) to auto-generate test cases, accelerate test maintenance, and automate monitoring. Developed scripts to detect LLM output issues (hallucinations/bias) using prompt/response validation. Agile Collaboration: Planned and executed sprint-level QA cycles (functional, smoke, regression, UAT) in Jira; triaged defects through closure to drive release readiness. Partnered with developers to resolve complex bugs before production.
Designed comprehensive test strategies, test plans, test cases, and Requirement Traceability Matrices (RTM) from business requirements while leveraging AI-assisted tools to accelerate test case generation, improve requirement analysis, and increase functional test coverage. Executed functional, smoke, sanity, regression, integration, and UAT testing for enterprise web and mobile applications. Applied AI-assisted quality engineering practices to identify edge cases, optimize regression suites, and improve release confidence across Agile delivery cycles. Validated REST and SOAP APIs using Postman and SoapUI by verifying request/response payloads, JSON/XML schemas, authentication flows, and backend integrations. Performed API contract validation and data consistency checks to ensure reliable communication across distributed microservices. Utilized Generative AI tools such as GitHub Copilot, Claude, and Cursor IDE to accelerate test design, automate repetitive QA activities, assist in debugging, and improve automation productivity while maintaining high-quality engineering standards. Collaborated with cross-functional teams to validate AI-enabled application workflows, ensuring response consistency, business rule compliance, and end-to-end functional accuracy across integrated systems. Logged, prioritized, and managed defects using Jira, performed root-cause analysis, regression retesting, and impact assessment, ensuring high-quality software releases and continuous improvement of the quality assurance process.