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Senior QA Engineer with over 7 years of experience in manual and automated testing, specializing in the design and leadership of comprehensive testing strategies throughout the Software Development Life Cycle (SDLC). Experience across diverse business models, including Startups, open-source technologies (SaaS, PaaS), and Cloud-based CRM solutions.
Team leader and collaborator within cross-functional teams operating under Scrum and Kanban frameworks. Strong capabilities in process management and optimization aligned with ISO 9001 standards, including initiatives that reduced production defects by up to 70% and testing time by 80%.
Hands-on experience applying multiple KPIs, including Defect Density (DD), MTTR, MTTD, Test Coverage, Defect Escape Rate, Release Rollback Percentage, and Quality Gates to define release readiness (e.g., 80% unit test coverage, percentage of validated requirements, residual risk, and zero critical defects).
Expertise in web, API, database, and microservices testing, with a strong focus on continuous improvement, security, usability, and performance. Experience implementing BDD/TDD methodologies and designing automation frameworks with Object-Oriented and Functional paradigms, by applying design principles and best coding practices. I am currently focused on innovation and the systematization of AI adoption practices in operational and business management.
- ISTQB® Cerification Sr Manual & Automation
- Testing Types: Smoke, Sanity, Exploratory, E2E, Regression, Integration, UAT, UI, Unit Testing with TDD.
- Automation & Tools: Selenium WebDriver, Pytest, Playwright, Cypress, Appium, JMeter, Jenkins Pipeline (Groovy), Grafana K6.
- API Testing: Postman (functional, security, performance, contract), API automation.
- AI Native Frameworks and Agentic Systems Domain: SDD + VDD, Anthropic AI Fluency + 4D Framework, Calude Code, Antigravity, Codex, Widsurf
- Languages: Python, JavaScript, TypeScript, HTML, CSS.
- Databases: MySQL, DBeaver, HeidiSQL (SQL/SOQL, CRUD validation).
- Virtual Environments Technologies: Linux and Windows systems, using AWS, Vagrant, Docker, Virtual Box
- Methodologies: Agile (Scrum, Kanban), BDD, TDD.
- Test Management: JIRA, XRay, Zephyr, Confluence, Markdown.
- Cloud & Frameworks: Docker, AWS (EC2), Flask, Salesforce CRM, WordPress CMS.
- Quality Standards: ISO 9001, ISO 27001, ISO 25000.
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SDr QA Engineer Consultan | Couture Technologies| Consultor project| 2026
- Leadership of the QA function across multiple projects, defining risk-based testing strategies aligned with business objectives.
- Requirements analysis and design key documentation (SRS/IEEE 883, test plans, test cases, traceability) to improve quality from early stages.
- Implementation of a multi-tenant QA management model, isolating environments and reducing risks between concurrent projects.
- Perform end-to-end manual testing (happy path, negative scenarios, and edge cases). I develop UI and API automation with Cypress as part of a CI/CD automation strategy.
- Conduction of UI performance validations and functional security checks.
- Define and monitor quality KPIs such as DER, MTTD, and MTTR, using metrics to evaluate impact and optimize defect detection and resolution.
- Management of multiple projects in parallel, prioritizing coverage based on criticality and impact.
- Deployment Quality control across Amazon Web Services, GitLab, and Slack, collaborating on deployments, issue tracking, and quality communication.
- Improvements in development and project management processes, strengthening quality practices in the software life cycle.
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QA Engineer | Wzuh | (2025)
- Deployment of cybersecurity technology
- Testing different features and capabilities
- Code refactor
- Code security patches over the automation framework
- Execution of different test types such as smoke, sanity, e2e, and edge cases
- Report and issues documentation into a complete workflow
- Usage of Jenkins pipeline/vagrant/aws/ansible/github/git
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QA Engineer Sr Manual-Automation| Startup Portfolio Forge (2023–2025)
- Automated 80% of test cases, reducing regression testing time by 40%.
- Led QA team of 3, boosting collaboration and efficiency.
- Applied POM and functional programming for robust Selenium + Pytest frameworks.
- Integrate API test suites using Postman
- Integrated automation into Jenkins CI/CD pipelines with Dockerized environments.
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QA Engineer | ETECSA (2019–2022)
- Designed adaptable test plans for multiple software products.
- Implemented ISO 25000/27001 standards in QA processes.
- Performed API, database, and exploratory testing in critical systems.
- 🔗 Compilador QA — Educational website for QA Engineers to contribute to developing technology acquisition knowledge as context-based for software qa engineers.
- 🔗 C-QA-Automation-Framework for e-commerce as an educational project to guide the build of an integral QA framework.
- 🔗 Skill-Quality-Ansurance-Framework-SQAF is an agentic framework for deterministic AI Skill quality assessment. It orchestrates specialized reviewers to evaluate design, execution, and overall readiness through evidence-based assessments. SQAF introduces a shift-left QA approach, reducing iteration effort, scaling costs, and improving skill quality before deployment.
- 🔗 File Monitoring Feature (Linux & Windows) as a demo practice focusing on QA best practices for system design. An application with system logic to process events received after a scan executed by a network monitoring SIEM. This program could connect to a SIEM and extend its capabilities to assist with observability and decision-making for security specialists. While maintaining the idea of a functional application, the aim was to create a design that balanced component cohesion with minimal add-ons, using a Functional Paradigm, as well as the naming of variables and functions, all to facilitate scalability and maintenance in subsequent tasks such as debugging and refactoring.