Jinghua Yao
About Jinghua Yao
Jinghua Yao is a Senior Software Quality Engineer currently working at Preset and an Apache Superset Committer at The Apache Software Foundation. With a background in biology and extensive experience in software testing, Yao has contributed to significant projects and improved product quality through automation and manual testing.
Work at Preset
Jinghua Yao serves as a Senior Software Quality Engineer at Preset, a role she has held since 2021. In this position, she focuses on ensuring the quality of software products through rigorous testing processes. She collaborates closely with the product team to launch products for General Availability (GA) and signs off on new feature releases, ensuring they meet established quality standards.
Experience at The Apache Software Foundation
Since 2021, Jinghua Yao has been an Apache Superset Committer at The Apache Software Foundation. In this capacity, she contributes to the open-source project by performing code reviews and testing pull requests (PRs). Her efforts enhance the platform's stability and functionality, supporting the community-driven development of Apache Superset.
Previous Role at Google
Jinghua Yao worked as a Testing Engineer at Google through a contract with Virtusa from 2018 to 2021. This role was based in Mountain View, CA, where she contributed to various testing initiatives. Her experience at Google helped her develop a strong foundation in software quality assurance.
Education and Expertise
Jinghua Yao holds a Master's degree in Biology from Buffalo State University, which she earned from 2005 to 2007. She also completed her Bachelor's degree in Biology at Sun Yat-sen University from 2000 to 2004. Her educational background supports her analytical skills in software quality engineering, particularly in crafting automation tests using tools like Cypress, Selenium, and Flutter.
Professional Achievements
Throughout her career, Jinghua Yao has achieved significant milestones in software quality assurance. She set up and executed a manual QA test suite with over 600 test scenarios using TestRail, ensuring comprehensive testing coverage. Additionally, she developed and integrated end-to-end tests with a Jenkins pipeline, achieving 80% feature coverage, which improved product quality and reliability.