Sonam K.
Senior QA Engineer | Cypress, API, Performance & AI/LLM Testing
I help SaaS companies, startups, and product teams improve software quality through comprehensive manual testing, Cypress automation, API validation, performance testing, and AI/LLM quality assurance. My approach combines structured test planning with real-world exploratory testing to uncover functional defects, edge cases, integration issues, usability problems, and failures that can impact your users. 🔹 My Core QA Services 1. Manual & End-to-End Testing Functional, exploratory, smoke, sanity, and regression testing End-to-end business workflow validation Cross-browser, responsive UI, and usability testing Role-based access control and permission testing Negative, boundary, and edge-case testing Defect reporting, root-cause investigation support, and fix verification 2. Test Automation with Cypress Automated UI and end-to-end test development Reusable test scripts and maintainable test suites Regression test automation for critical workflows Form validation, authentication, navigation, and user journey testing Test execution, failure analysis, and regression coverage improvement 3. API Testing REST API testing using Postman Request/response validation and status code verification Authentication, authorization, and permission testing Positive, negative, boundary, and error-handling scenarios Data consistency and integration testing API response-time validation 4. Performance Testing Response-time and performance baseline checks Load, stress, and concurrency testing where supported by the available tools Identification of slow endpoints and performance bottlenecks Validation of application stability under expected workloads Performance regression checks 5. AI, Generative AI & LLM Testing AI chatbot and conversational workflow testing Prompt testing and expected-versus-actual response evaluation Hallucination, factual accuracy, and relevance checks Context retention and multi-turn conversation testing Negative prompts, ambiguous inputs, and edge-case validation Safety, refusal behavior, and prompt-injection resilience testing Consistency, latency, and regression testing for AI features 🔹 My QA Approach I focus on understanding requirements, identifying high-risk scenarios, designing practical test cases, executing tests systematically, documenting reproducible defects, and verifying fixes through regression testing. My bug reports include clear reproduction steps, expected versus actual results, supporting screenshots or recordings where appropriate, and severity and business impact. I also have experience contributing to test planning, test design, test execution, defect reporting, test documentation, AI-assisted test automation, and chatbot configuration. 🔹 Tools & Technologies Cypress | Postman | REST APIs | SQL | AI testing tools |Jmeter| LLM-based applications | Excel | Markdown | Bug tracking tools 🔹My Deliverables Structured QA summary Clear, actionable defect reports Practical automation focused on critical user journeys Thorough API and integration validation Careful evaluation of AI-generated responses Transparent communication and reliable QA documentation Whether you need ongoing QA support, a complete regression cycle, Cypress automation, API validation, performance checks, or a testing strategy for an AI-powered application, I can help you identify risks early and improve release confidence.