Deepa Nair

Professional Summary

• Expert QA Engineer with 6 years of specialized experience in performance testing and optimization across web, mobile, and enterprise applications
• Proficient in automation testing using Selenium, Java, Python, and Cypress for comprehensive test coverage
• Skilled in API testing, performance testing with JMeter and Locust, and database validation with SQL and DynamoDB
• Experienced in Agile environments, CI/CD integration with Jenkins and GitHub Actions, and REST Assured for API automation
• Knowledgeable in JavaScript, API automation, and test management for complex software systems
• Familiar with regression testing, functional testing, and web services validation for diverse platforms
• Strong advocate for quality assurance engineering, debugging, and application development best practices
• Collaborative professional working with cross-functional teams to ensure software reliability and performance

Work Experience

Senior QA Engineer - Performance Testing Specialist

[Company name] · [Start date – End date]

6 years of specialized experience as a Performance Tester and QA Engineer at technology firms in Kochi, focusing on performance optimization and quality assurance. Led performance testing initiatives for 15+ high-traffic applications, improving response times by 40% and scalability by 200%.

Responsibilities

• Design, develop, and execute comprehensive test plans and test cases for web, mobile, and API applications with emphasis on performance
• Develop and maintain automated test scripts using Selenium, Cypress, Playwright, and REST Assured for functional and regression testing
• Perform manual testing including functional, regression, performance, and API testing to ensure software quality
• Collaborate with cross-functional teams in Agile/Scrum environments to integrate quality throughout the SDLC
• Integrate automated testing into CI/CD pipelines using Jenkins, GitHub Actions, and Azure DevOps
• Identify, document, and track defects using JIRA, providing detailed analysis and performance metrics
• Conduct performance testing using JMeter, Locust, and other tools for load, stress, and scalability validation
• Mentor junior QA engineers and lead knowledge sharing on performance testing best practices
• Ensure compliance with QA methodologies and industry standards for high-performance applications
• Work on specialized testing for performance-critical features, AI systems, and e-commerce platforms
• Apply 2026 performance engineering: k6 cloud-native load testing, AI anomaly detection on metrics, LLM inference latency profiling, predictive scaling validation, and intelligent performance quality gates in CI/CD

Project Experience