Ms. Apoorva Nerkar is a results-driven Quality Analyst with a Master’s degree in Computer Science and deep hands-on experience in software testing. Currently working as an AI Tester, she brings a strong foundation in quality assurance combined with the ability to validate complex, AI-powered systems with precision and insight.

Her expertise spans system, functional, regression, and end-to-end testing, with a consistent focus on delivering high-quality, user-ready products. She is proficient in using tools such as JIRA, TestRail, Postman, Selenium, and Chrome DevTools to design and execute test strategies that align with project requirements and business goals.

Specializing in the testing of AI applications, she excels at validating natural language processing (NLP) flows, conversational logic, and output accuracy in voice and chatbot systems. Her approach ensures AI solutions are not only functionally sound but also deliver seamless and intuitive user experiences.

In her role as a Quality Analyst, she actively engages with stakeholders, ensuring clear communication of test coverage, risk assessments, and issue resolution. Her ability to collaborate across cross-functional teams helps align product expectations with practical outcomes, enabling faster and more efficient delivery cycles in Agile environments.

Her work is characterized by attention to detail, a commitment to quality, and a strong understanding of both frontend usability and backend functionality. Her testing methodology integrates both structured process and critical thinking, enabling her to identify edge cases and prevent potential issues before release.

With a focus on continuous improvement and high-impact outcomes, she contributes to building reliable, scalable, and user-centric digital solutions. Her professional journey reflects a consistent dedication to excellence in software quality assurance, particularly in the evolving landscape of AI technologies.