AN.
( featured work )

Selected Projects

A curated collection of production QA automation frameworks, mobile testing engines, performance benchmark suites, and AI quality workflows engineered across enterprise platforms.

Enterprise SaaS QA2023 — Present
🏢Enterprise SaaS Platform · London, UK (Remote)

Testim.io Automation & QA Suite

⚡+60% Coverage / -45% Feedback Loop

Architected custom automation wrapper libraries and test components, maintained automated Testim.io suites using JavaScript for custom logic, and engineered parallel GitLab CI test execution matrices.

  • •Expanded automated E2E regression coverage by 60% across distributed enterprise web platforms
  • •Designed parallel test execution matrices in GitLab CI using TypeScript, reducing pipeline feedback loops by 45%
  • •Implemented cross-platform mobile automation using Maestro for both iOS and Android platforms
Testim.ioJavaScriptTypeScriptGitLab CIMaestroDocker
Mobile SDET2022 — 2023
🏢Rayn · Islamabad, Pakistan

React Native Mobile Automation Framework

⚡99% Pass Rate / 50% Faster Execution

Built a modular, cross-platform mobile test automation framework from scratch for React Native applications utilizing Appium, Webdriver.io, and Node.js with Component Object Model (COM) architecture.

  • •Implemented Component Object Model (COM) decoupling UI layers into isolated, maintainable components
  • •Increased automated regression safety bounds by 50% while cutting test execution cycles in half
  • •Executed robust API contract testing with Postman and Swagger for frontend-to-backend microservices
AppiumWebdriver.ioReact NativeNode.jsPostmanClickUp
Web QA & Gen AI2024
🏢Enterprise Test Suite Project

Cypress & TypeScript with Generative AI Automation

⚡Accelerated Test Scripting & Autonomous Docs

Designed and implemented an automated end-to-end test suite for modern web applications utilizing Cypress and TypeScript, leveraging Generative AI agents to write test scripts and generate comprehensive test documentation.

  • •Leveraged Generative AI agents to assist in writing test scripts and generating comprehensive test documentation
  • •Built custom Cypress commands and reusable assertion helpers for complex dynamic web workflows
  • •Integrated into GitHub Actions CI pipeline for automated pull request quality gates
CypressTypeScriptGenerative AIAI Test AgentsNode.js
Enterprise Automation2021 — 2024
🏢Quality Engineering Labs

Java & Selenium WebDriver E2E Automation Framework

⚡AI-Driven Defect Investigation & Reporting

Architected a robust, scalable E2E automation framework from scratch using Java and Selenium WebDriver. Integrated Maven, TestNG, and Extent Reports with AI-driven bug analysis tools to accelerate defect resolution cycles.

  • •Engineered Page Object Model (POM) architecture with thread-safe parallel test execution in TestNG
  • •Integrated AI-assisted bug investigation to capture stack traces, console errors, and reproduction steps
  • •Automated cross-browser execution across Chrome, Firefox, Edge, and Safari environments
Selenium WebDriverJavaTestNGMavenExtent ReportsAI Triage
Mobile QA Innovation2023 — Present
🏢Mobile Quality Suite

Maestro Mobile Automation & AI Self-Healing Suite

⚡Zero-Flakiness High-Velocity UI Testing

Developed a dedicated mobile automation suite using Maestro to streamline testing for high-velocity UI updates, utilizing AI to maintain test stability and self-heal element locators across different mobile device configurations.

  • •Streamlined cross-platform UI flows on native iOS and Android builds with declarative YAML test flows
  • •Utilized AI-assisted heuristics to recover dynamic locators during rapid application UI redesigns
  • •Achieved sub-minute mobile smoke test execution on emulator and cloud device matrices
MaestroiOSAndroidSelf-Healing LocatorsMobile QA
Performance Engineering2019 — Present
🏢Enterprise Benchmarking

Apache JMeter Enterprise Load & Stress Benchmark Suite

⚡Peak Traffic Latency SLAs Guaranteed

Designed and executed distributed stress, endurance, and spike testing suites using Apache JMeter to validate server capacity, response latency, and database connection pooling under peak operational stress.

  • •Simulated realistic concurrent user journeys with dynamic parameterization and assertion verification
  • •Uncovered memory leaks, slow database queries, and thread locks before high-traffic production rollouts
  • •Generated comprehensive latency, error-rate, and throughput benchmark reports for stakeholders
Apache JMeterPerformance TestingLoad BenchmarkingDockerAWS
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Let’s build bulletproof systems.

Looking to architect an enterprise automation test suite, modernize your CI/CD pipelines, or benchmark application performance? Reach out to collaborate.