# Deepa Nair

Senior QA Engineer - Performance Testing Specialist | 6 years experience | Kochi, Kerala

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## 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

## Technical Skills

Automation Testing, Manual Testing, API Testing, Selenium, Java, Python, Cypress, Playwright, QA, Software Testing, Agile, CI/CD, JIRA, Git, REST Assured, Performance Testing, Test Automation, JavaScript, API Automation, SQL, DynamoDB, AWS, SAAS, JMeter, Databricks, Azure DevOps, Pytest, Microservices, Locust, k6, AI Anomaly Detection, ML-based Performance Regression, LLM Latency Testing, Predictive Scaling Validation, Grafana, OpenTelemetry

## 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

### E-commerce Platform Performance Optimization

Designed and executed comprehensive load testing for a high-traffic online marketplace using JMeter and Locust. Identified and resolved performance bottlenecks, ensuring support for 100K+ concurrent users during peak sales. Technologies: JMeter, Locust, Python, AWS, Databricks, Selenium, REST Assured.

### Fintech Mobile Application

Conducted performance testing for a banking app with real-time transaction processing. Implemented monitoring and profiling to optimize API response times and memory usage, achieving 99.9% uptime. Technologies: JMeter, Java, Azure DevOps, SQL, DynamoDB, Mobile Testing Tools.

### SaaS Analytics Dashboard

Led performance validation for an AI-powered analytics platform, focusing on data processing pipelines and user interface responsiveness. Integrated automated performance tests into CI/CD, reducing regression issues by 60%. Technologies: Locust, Python, Pytest Framework, AWS, Angular, Microservices.

### AI Anomaly Detection for LLM Performance

Built intelligent performance monitoring system for a generative AI SaaS platform using k6 load tests combined with AI anomaly detection algorithms for real-time P99 latency alerts. Implemented OpenTelemetry traces for LLM token-generation throughput profiling and predictive scaling validation under simulated viral usage spikes. Technologies: k6, AI Anomaly Detection, OpenTelemetry, LLM Latency Testing, Predictive Scaling Validation, Grafana, AWS, Python.

## Education

B.Tech in Mechanical Engineering from National Institute of Technology, Calicut (2015-2019, 8.7 CGPA)

## Certifications

ISTQB Advanced Level - Performance Testing, AWS Certified Solutions Architect, Certified Scrum Master (CSM), JMeter Professional Certification

## Achievements

Awarded "Performance Excellence Award" for optimizing e-commerce platform handling Black Friday traffic; Published article on "Performance Testing in Microservices" in QA Journal; Reduced application response time by 50% through bottleneck analysis