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Mei Zhang

QA Automation Lead at Salesforce

Summary

Experience

QA Automation LeadSalesforce
San Francisco, CAMar 2021Present
  • Led a team of 5 QA engineers, increasing test coverage by 30% and reducing critical defect leakage by 25% within one year.
  • Designed and implemented a scalable end-to-end test automation framework using Playwright and Python, resulting in a 40% reduction in regression testing cycle time.
Senior QA Automation EngineerGoogle
Mountain View, CAJun 2017Mar 2021
  • Developed and maintained automation scripts for core search algorithms using Selenium WebDriver and Java, improving test execution efficiency by 35%.
  • Identified and reported over 200 critical defects, contributing to a 10% improvement in product stability for major releases.
QA EngineerOracle
San Francisco, CAAug 2012May 2017
  • Executed comprehensive functional, regression, and system tests for enterprise software solutions, ensuring adherence to quality standards.
  • Automated key UI and API test cases using TestNG and RestAssured, achieving a 50% automation rate for critical modules.
  • Worked closely with product management to define test plans and strategies for new feature releases, ensuring alignment with business requirements.

Projects

E-commerce Microservices Test Suite
Jan 2022Aug 2022
  • Developed a comprehensive end-to-end automation suite for a mock e-commerce platform built with microservices, achieving 90% API and 80% UI test coverage.
  • Implemented containerized test environments using Docker and integrated with Jenkins for continuous validation, reducing deployment risks by 20%.
AI-Powered Test Case Generator
May 2021Dec 2021
  • Created a Python-based tool utilizing NLP to generate initial test cases from user stories and requirements, speeding up test planning by 15%.
  • Contributed to an open-source project aimed at enhancing efficiency in manual test case creation and coverage analysis.
Mobile App Automation Framework
Mar 2020Oct 2020
  • Designed and implemented an Appium-based automation framework in Java for both iOS and Android platforms, reducing mobile regression cycles by 30%.
  • Integrated device farm solutions for parallel execution, cutting down total test run time by 50% across diverse mobile device matrices.

Education

Stanford UniversityMaster of Science in Computer Science
Palo Alto, CASep 2010Jun 2012
  • Specialized in Software Engineering and Distributed Systems.
  • Awarded Dean's List for academic excellence (GPA 3.9/4.0).
University of California, BerkeleyBachelor of Science in Software Engineering
Berkeley, CASep 2006May 2010
  • Graduated Magna Cum Laude with a GPA of 3.8/4.0.
  • Recipient of the Engineering Leadership Scholarship.

Skills

Test Automation Frameworks
Selenium WebDriverPlaywrightCypressAppiumRobot Framework
Programming Languages
PythonJavaJavaScriptC#SQL
CI/CD & Tools
JenkinsGitLab CIDockerKubernetesJiraConfluenceGit
Cloud Platforms
AWSAzureGoogle Cloud Platform
Methodologies & Concepts
AgileScrumBDD/TDDPerformance TestingSecurity TestingAPI Testing