Software Quality Engineering Expert
I help organizations deliver reliable, scalable, and production-ready software through technical quality engineering. With 14+ years of experience in the software industry, including 8 years focused on software quality engineering and prior experience in software development, I specialize in technical testing, including API and backend testing, database testing and validation, performance testing, test automation architecture, and risk-based test strategy. I don't just find defects — I diagnose their root causes and help teams resolve them faster. I work across the full software development lifecycle, embedding automation and CI/CD-integrated testing to reduce delivery risk, accelerate software delivery, and increase release confidence.
I'm a Software Quality Engineering Expert with 14+ years of experience in the software industry, including 8 years dedicated to Software Quality Engineering and prior experience in Software Development. Throughout my career, I have focused on building quality into software from the earliest stages of development, helping organizations deliver reliable, scalable, and production-ready applications.
My expertise spans technical quality engineering, including API and backend testing, database validation, performance testing, test automation architecture, Continuous Testing in CI/CD Pipelines, and risk-based testing. I also have extensive experience in functional testing and business domain validation across enterprise-scale systems, ensuring that software not only meets technical standards but also fulfills business objectives.
With a strong software development background, I approach testing from an engineering perspective. I analyze system architecture, identify quality risks early, diagnose the root causes of defects, and design effective testing strategies that improve software reliability while reducing delivery risk. I believe quality should be engineered throughout the Software Development Lifecycle rather than inspected at the end.
I enjoy solving complex quality challenges, optimizing testing approaches, and continuously learning new technologies and engineering practices that help organizations build better software with greater confidence.
Challenge: Manual regression testing was slowing releases and letting defects slip into production.
Approach: Risk-based regression analysis, test automation, and CI/CD integration to prioritize and continuously validate critical business flows.
Challenge: Fragile API integrations were causing recurring incidents in production.
Approach: Risk-based API test strategy combining functional, negative, integration, and database validation with automated backend testing.
Challenge: The platform crashed during peak sales events under unexpected load.
Approach: Load and performance testing to simulate peak traffic, identify bottlenecks, and validate scalability, stability, and system capacity.
Challenge: Legacy record migration into Oracle carried high risk of data corruption, duplicates, and broken referential integrity.
Approach: built a database validation framework with automated reconciliation checks across source/target systems.
Challenge: The app behaved inconsistently across devices, OS versions, and screen sizes, causing crashes and negative store reviews after each release.
Approach: Built a device coverage matrix from real usage analytics and automated the critical user journeys. Added backend API checks to separate app defects from service defects, and plugged the suite into the CI pipeline so every build ran against the prioritized devices.
Challenge: Security flaws and untested business logic on a customer portal were found late in the cycle, or not at all.
Approach: Used white-box analysis to target unit tests at high-risk logic, and added automated OWASP ZAP scans with findings triaged alongside developers.