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Hi, I'm Francisco Cabezas! πŸ‘‹

QA Automation Engineer

Experience Location ISTQB Certified

Transforming quality assurance through automation frameworks, AI-powered testing, and DevOps practices
to accelerate reliable software delivery.


πŸ‘¨β€πŸ’» About Me

QA Automation Engineer with 6+ years of experience specializing in end-to-end test automation, API testing, and continuous integration. I design, develop, and maintain robust automation frameworks using Cypress, Playwright, and Selenium to ensure comprehensive test coverage and accelerate release cycles.

I excel at implementing strategic automation solutions that optimize regression testing, integrate seamlessly with CI/CD pipelines (GitHub Actions, Docker, AWS), and leverage AI-Assisted Testing techniques including LLM Testing and Model Context Protocol (MCP) for enhanced validation of AI-powered applications.

🎯 Core Focus Areas

  • Test Automation Architecture: Building scalable frameworks with Cypress, Playwright, and Selenium
  • CI/CD Integration: Implementing automated testing in GitHub Actions, Jenkins, and Azure DevOps
  • AI-Assisted Testing: Leveraging MCP and LLM Testing for AI model validation
  • Performance Testing: JMeter and BlazeMeter for load and stress testing
  • API Testing: Comprehensive REST API validation with Postman and REST Assured
  • Cloud Infrastructure: AWS and GCP for scalable test environments

πŸ› οΈ Technical Stack

πŸ€– Automation Frameworks

Playwright Cypress Selenium

πŸ’» Programming Languages

TypeScript JavaScript Python Java

πŸ”§ Testing Tools

Postman JMeter REST Assured Jest

πŸ—„οΈ Databases

MongoDB PostgreSQL MySQL Supabase

☁️ Cloud & CI/CD

AWS GCP GitHub Actions Docker Jenkins Azure DevOps

πŸ€– AI-Assisted Testing

GitHub Copilot MCP AI Testing LLM Testing

πŸ“Š Test Management & Methodologies

Notion Jira Xray Agile Scrum

🎭 Test Automation Patterns

  • Page Object Model (POM) - Expert
  • Screenplay Pattern - Intermediate
  • Data-Driven Testing (DDT) - Advanced
  • Behavior-Driven Development (BDD) - Advanced

πŸ† Certifications

ISTQB
International Software Testing Qualifications Board
SCRUM
SCRUM Foundation Professional Certificate
EF SET
English Proficiency Certification
GCP
Architecting with Google Cloud Platform

πŸ’Ό Professional Highlights

πŸš€ Key Achievements

  • βœ… Reduced regression testing time by 40% through comprehensive automation suite implementation
  • βœ… Decreased critical production incidents by 30% with robust pre-release validation
  • βœ… Increased test coverage by 35% through strategic automation of AI model validation scenarios
  • βœ… Reduced recurring defects by 25% by establishing comprehensive automated regression suites
  • βœ… Improved lead verification accuracy through data-driven testing approaches

πŸ”¬ Testing Expertise

  • Functional Testing: Comprehensive validation of software requirements and business logic
  • Non-Functional Testing: Performance, usability, reliability, and security assessments
  • Black Box Testing: Application functionality testing without internal code knowledge
  • White Box Testing: Internal structure and code path validation
  • API Testing: REST/SOAP API validation and contract testing
  • Performance Testing: Load, stress, and scalability testing with JMeter

🌟 Featured Projects

Progressive Web Application (PWA) designed to help students prepare for the ISTQB Foundation Level certification.

Key Features:

  • Intelligent question engine with spaced repetition algorithm (SM-2)
  • Full exam simulator with realistic ISTQB distribution (40 questions/60 minutes)
  • Achievements system, study streaks, and detailed performance tracking
  • Multi-language support (Spanish/English), offline mode, and PWA capabilities
  • Comprehensive test coverage with CI/CD pipeline and automated deployment

Tech Stack: Next.js, TypeScript, React, Node.js, PostgreSQL, Supabase, Jest

View Demo View Code


Web application that allows development squads to register, evaluate, and analyze monthly completed tasks. Automatically calculates scores based on returns (severe, medium, and low), generates versioned reports, and uses AI to produce qualitative performance and communication comments.

Key Features:

  • Automated score calculation based on task returns (severe: βˆ’1.5, medium: βˆ’0.75, low groups: βˆ’0.5)
  • Versioned report generation with AI-generated comments via OpenAI GPT
  • Full CRUD task management with real-time validation and advanced filters
  • Complete audit trail with detailed change history per entity
  • Supabase Auth + Row Level Security (RLS) for granular access control
  • Resilience layer: automatic retries with exponential backoff and informative modals
  • Full CI/CD pipeline: tests must pass before every production deploy

Tech Stack: Next.js, TypeScript, React, PostgreSQL, Supabase, OpenAI (GPT), Jest, Playwright, GitHub Actions, Vercel, Tailwind CSS

View Demo View Code


πŸ“« Let's Connect

Email LinkedIn Portfolio


"Quality is not a phase β€” it's a continuous, collaborative practice."

Built with ❀️ by Francisco Cabezas | QA Automation Engineer

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