Anjali Nair

I’m a QA Automation Engineer with 11+ years of experience delivering quality engineering solutions across Healthcare, ERP, Banking, Digital Media, and AI-powered platforms. I bring hands-on expertise in Python, Selenium, and API/UI automation, with a strong focus on end-to-end release confidence.

In my current role as QA Lead at Infomind AI, I designed and maintained Selenium/Python and BDD automation frameworks, and developed API and UI automation suites for enterprise applications. I execute functional, regression, smoke, integration, API, end-to-end, and manual testing—also including mobile testing for Android and iOS.

I’ve built 250+ API automation workflows using Infomind and developed 100+ UI automation scenarios to support continuous regression testing. I integrated automated testing into CI/CD pipelines using GitHub Actions, and I’ve led defect analysis, root cause investigation, and release validation, achieving 90%+ release readiness before weekly deployments.

I work closely with developers, business analysts, and product teams in Agile Scrum environments, and I support delivery through customer demos, UAT, production support, and technical training. I also leverage ChatGPT for test design, documentation, AI-assisted QA productivity, and AI-assisted regression optimization to accelerate quality outcomes.