Tao Wang is an experienced software engineer and QA specialist with 11 years building reliable test frameworks, backend integration tests, and database-driven applications. Based in Seattle, he spent a decade at Amazon advancing Selenium/Appium automation and defining QA engagement processes that improved development cycles across multiple service teams. His technical breadth spans Java, Python, C, Oracle/MySQL, SAS/R for statistical analysis, and web technologies—bringing both engineering rigor and data-savvy to product quality. He has hands-on Linux and DevOps experience from small-business IT to large-scale services, and maintains a personal site focused on R and SAS data analysis. Now contributing to the f(x) protocol, he combines core contributor curiosity with practical delivery experience from consulting to enterprise software. An uncommon strength is his statistical background, which he applies to test design and performance validation for more analytically driven QA.
11 years of coding experience
11 years of employment as a software developer
BS Electronic Engineering, BS Electronic Engineering at Liaoning Institute of Technology
MS Applied Computing Statistic Option, MS Applied Computing Statistic Option at Eastern Kentucky University
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