Software QA Engineer & AI QA Analyst — 5+ years testing Web and Mobile (iOS/Android) applications, from test planning to release sign-off, at the intersection of quality, technology, and user experience.
I'm a Software QA Engineer & AI QA Analyst with 5+ years of experience testing Web and Mobile (iOS/Android) applications across the full SDLC.
I work at the intersection of quality, technology, and user experience — creating test plans, test cases, and strategies for Functional, Regression, Smoke, Sanity, E2E, UAT, and Accessibility testing.
Currently, I'm involved in testing both UI and backend for a caregiving marketplace platform available on Web, iOS, and Android.
📍 Based in New Jersey, USA
🧪 5+ years of Manual QA across Web & Mobile
🤖 Actively applying GenAI tools to QA workflows
🎯 Passionate about accessibility & inclusive testing
The testing disciplines I rely on most to ship confident, quality releases.
5+ years testing Web and Mobile (iOS/Android) apps — functional, regression, smoke, sanity, E2E and UAT.
Validating REST endpoints, status codes and payloads with Postman & Swagger.
WCAG 2.x, Section 508, VoiceOver, TalkBack and NVDA screen-reader audits.
Verifying data integrity behind the UI with SQL queries.
Working alongside Jenkins & GitHub Actions pipelines for build and release testing.
Using Claude, OpenAI and Gemini to accelerate test design, coverage analysis and defect triage.
My day-to-day toolkit across test management, APIs, mobile, debugging and data.
A mix of real testing work and practice-based QA case studies — built to demonstrate structured test thinking, not just tool names.
Performed mobile application testing using Samsung Remote Test Lab to validate biometric/fingerprint authentication functionality — positive and negative biometric scenarios, invalid fingerprint attempts, and end-to-end authentication flow validation on a real remote device.
Manual QA portfolio project for a caregiving marketplace platform, covering test planning & strategy, requirements/acceptance criteria review, test cases, bug reports, exploratory testing, API testing with Postman, SQL validation, accessibility testing, smoke & regression testing, and release readiness.
🔒 Private repository — currently in progressA QA training/practice web application project focused on manual testing fundamentals for a service-booking style web app — test case design, functional validation, and bug reporting.
🚧 Repository & materials in progressNew QA case studies are in progress — check back shortly.
Not a client project, but active hands-on learning: exploring how prompt engineering and generative AI can accelerate test case generation, bug-report drafting, and QA evaluation frameworks — grounded in the Generative AI for QA certification below.
Continuous learning to stay sharp as QA practices evolve alongside AI.
Highlights from where I've driven quality beyond day-to-day test execution.
Implemented and led a comprehensive a11y testing program — covering WCAG 2.x, Section 508, VoiceOver, TalkBack, and NVDA screen readers.
Initiated Shift-Left testing within the team, improving defect detection rates in early development stages.
Developed and executed a comprehensive test strategy covering functional, regression, and GenAI-specific testing scenarios.
Built a strong collaboration pipeline with Customer Support for real-world defect triage and faster resolution cycles.
Led QA triage meetings — aligning cross-functional stakeholders on bug priorities, release readiness, and testing coverage.
Integrating AI tools into QA for smarter test planning and coverage analysis.
Generating test cases and test strategies using LLMs and prompt engineering techniques.
Building evaluation frameworks for testing AI product quality and reliability.
Learning automated accessibility auditing tools to complement manual testing.
I'm open to new opportunities, collaborations, and conversations about quality engineering, AI testing, and accessibility. Feel free to reach out!