Karamsetty Anjan

Background

About Karamsetty Anjan

Manual Testing ExpertiseTest Planning & Execution: Develop test plans, design test cases, and execute manual testing based on business requirements. Track progress in JIRA and collaborate with senior associates and development teams.Issue Replication & RCA: Replicate issues in lower environments to identify root causes (RCA) and ensure error-free functionality, improving software quality by 20%.Testing Types: Conduct functional, integration, regression, and UAT testing to ensure software stability and quality.Reporting & Retrospectives: Provide test results and status updates to stakeholders. Participate in sprint retrospectives to identify improvement areas, enhancing team efficiency by 15%.Sprint Reviews & Demos: Showcase testing results through video recordings or online meetings, ensuring transparency with clients and stakeholders.Automation Testing ProficiencyPython Selenium Automation: Expertise in writing XPaths, CSS selectors, and Selenium scripts for automation testing. Integrate scripts with the Pytest framework to build efficient test suites.End-to-End automation with Python Playwright, improving test execution speed by 25% through auto-waiting and browser context isolation Conducted advanced API testing using Postman and REST APIs and Pytest Framework, validating error responses and analyzing database payload logs AI/ML Models Testing and AI in Testing Validation. Automated end-to-end testing for modern web apps using Python Playwright, with experience in handling dynamic elements, multi-tab flows, and network request interception for robust validation.created AI agents to perform scenario validation and implemented a fallback mechanism using Playwright with Python for enhanced reliability.Built intelligent automation workflows using LangChain, integrating with LLMs and external tools/APIs for real-time data-driven decision making.Developed custom agents and chains to interact with documents and structured data, enhancing AI-based QA systems and chatbots in enterprise applications.Skilled in implementing A/B testing to evaluate and compare AI/ML model performance and optimize decision-making.Experienced in conducting Metamorphic Testing to validate model behavior under transformations and ensure consistency.Proficient in monitoring and managing Concept Drift to maintain AI/ML model accuracy and relevance over time.Adept at designing Pairwise Testing strategies to ensure efficient test coverage for AI/ML applications with complex parameter interactions.