Playwright + TypeScript / Python
Web UI automation with page objects, fixtures, assertions, test data, screenshots and trace-friendly debugging.
Automation Lab
From test idea to release confidence.
A practical view of how I structure automation across UI, API, data, performance, security and CI/CD — using the same skills and project areas represented across this portfolio.
Automation stack
Built for maintainability, not just execution.
Reusable patterns, readable tests and useful evidence are the foundation of my automation approach.
Selenium + Cypress
Cross-browser and regression automation patterns for established web applications and teams with mixed automation stacks.
API + Data Validation
REST checks, negative scenarios, response validation and database-backed verification using Postman, SQL and automation code.
Framework flow
A QA pipeline I can take from requirement to evidence.
01
Plan
Understand requirements, risks, acceptance criteria and test coverage.
02
Build
Create reusable UI/API tests, fixtures, data and clear assertions.
03
Run
Execute smoke and regression suites locally or through CI/CD.
04
Evidence
Capture results, failures, traces, screenshots and actionable defects.
Portfolio projects
Where the lab connects to my project work.
These are project areas already represented in my portfolio; the lab shows the testing lens I bring to them.
HRMS / HRMS-style systems
Prioritise login, role-based journeys, employee records, forms, search, validation and regression-critical workflows.
DNS
Validate input rules, lookup flows, response handling, edge cases and service/API behaviour.
Trademark
Focus on search, data validation, filters, result accuracy, boundary cases and repeatable regression coverage.
Whois
Exercise query inputs, valid/invalid domains, response parsing, error states and API-oriented checks.
Cloth Shopping / eCommerce
Automate product discovery, filters, cart, checkout and validation of critical customer journeys.
Campus / Australian Government
Apply structured functional, data and regression coverage to multi-step information workflows.
Performance
JMeter mindset
Design performance scenarios around concurrency, response time, throughput and error behaviour, then turn the results into evidence the team can act on.
scenario → load profile → run → analyse → report
Security
Security-aware QA
Use OWASP ZAP and Burp Suite alongside functional testing to validate common web and API security risks and retest remediation.
attack surface → validate → record → remediate → retest
CI/CD
Pipeline-ready quality
Connect automation to Jenkins, GitHub Actions and Azure DevOps so fast smoke checks and deeper regression suites can support delivery decisions.
commit → build → test → evidence → quality gate
Explore the implementation
See the projects and skills behind the lab.
Browse the project portfolio or the full technical skills map for the wider QA/SDET toolkit.