13+ years in Software Testing, Test Automation, and Quality Engineering
Building maintainable automation frameworks and exploring AI-assisted quality engineering with Playwright, TypeScript, Java, API testing, and workflow automation.
Iβm a Quality Engineering and Test Automation professional focused on building reliable automation, improving test effectiveness, and bringing AI-assisted practices into the QA lifecycle.
- π Modern browser automation with Playwright and TypeScript
- π§ͺ Automation architecture, reusable fixtures, Page Object Model, and test strategy
- π REST API testing and UI/API integration testing
- π€ AI/LLM and AI-agent testing, including evaluation of non-deterministic responses
- βοΈ Workflow automation using n8n, webhooks, and API integrations
- π CI/CD integration with GitHub Actions and Jenkins
- π¦ Quality gates, failure analysis, and release confidence
β Q-Gate AI
AI-Powered Quality Engineering & Release Intelligence
A Playwright + TypeScript project focused on helping teams move beyond a simple pass/fail result and make more informed release decisions.
Project focus includes:
- Playwright + TypeScript automation
- Page Object Model and reusable fixtures
- UI, API, and hybrid API/UI testing
- Authentication and role-based test execution
- Parallel execution and GitHub Actions integration
- Test reporting, traces, screenshots, and video diagnostics
- Flaky-test investigation and AI-assisted failure analysis
- Prototype concepts for self-healing locators
- AI/LLM and agent testing
- Configurable PASS / REVIEW / BLOCK quality-gate concepts
Guiding question: Can we confidently release this build?
An n8n-based workflow for automating parts of the QA defect-triage process.
- Webhook-based bug report ingestion
- Structured QA triage
- Duplicate-bug detection
- Conditional routing for duplicate and new reports
- Mock Jira defect creation
- Postman-based API validation
- Foundation for AI Agent / LLM integration
Areas Iβm exploring and evolving across my projects:
- Risk-based test selection and change-impact analysis
- AI-assisted test generation and test investigation
- Historical flaky-test analytics
- Contract and schema testing
- Event-driven / Kafka testing
- Performance and observability integration
- Advanced LLM and AI-agent evaluation
- Playwright MCP integration
- Quality dashboards and release-risk insights
| Area | Tools and Practices |
|---|---|
| UI Automation | Playwright, TypeScript, JavaScript, Selenium WebDriver |
| Frameworks & BDD | Playwright Test, Page Object Model, fixtures, Cucumber BDD, TestNG |
| API Testing | Postman, Newman, REST Assured, Playwright API testing |
| Programming | TypeScript, JavaScript, Java |
| AI & LLM Quality | AI/agent testing, hallucination checks, non-deterministic response validation, AI-assisted failure analysis |
| Workflow Automation | n8n, webhooks, API orchestration, automated defect triage |
| CI/CD & Version Control | GitHub Actions, Jenkins, Git, GitHub |
| Cloud | AWS, Google Cloud Platform (GCP), Microsoft Azure |
| Performance Testing | JMeter |
| Quality Practices | Functional, regression, integration, API, UI, data-driven testing, test strategy, quality gates |
Automation should do more than produce a PASS / FAIL result. It should help teams understand:
- What changed?
- What did we test?
- What failed, and why?
- Is it a product, test, data, or environment issue?
- What is the risk?
- Can we confidently release?
Test Automation β Quality Engineering β Quality Intelligence β Release Confidence
Iβm interested in practical ways to use AI tools to accelerate QA work while keeping engineering judgment and verification at the center.
- Generate and refine test scenarios from requirements
- Assist with automation code generation and refactoring
- Investigate failures and explore root-cause hypotheses
- Review generated code and validate assertions
- Automate repetitive QA workflows
- Evaluate AI/LLM outputs for correctness, consistency, and hallucinations
AI-generated output must still be reviewed, tested, and checked against requirements and security policies.
Playwright Β· TypeScript Β· JavaScript Β· Selenium WebDriver Β· Java Β· API Automation Β· Test Automation Frameworks Β· Test Architecture Β· CI/CD Β· Quality Engineering Β· AI/LLM Testing Β· AI Agent Testing Β· n8n Β· Workflow Automation Β· Quality Gates
- GitHub: github.com/ankit19apr
- LinkedIn: linkedin.com/in/ankit19apr
Interested in connecting about:
- Quality Engineering and SDET roles
- Test Automation Architecture
- Playwright and modern automation
- AI / LLM / agent testing
- Quality Engineering transformation
- Automation framework development
- Intelligent quality gates and release confidence
Feel free to connect if youβd like to discuss testing strategy, automation architecture, AI testing, or practical approaches to software quality.
