Xian Tao is a senior software engineer with nine years focused on testing, QA and DevOps, currently delivering data and automation pipelines for NVIDIA’s road-labeling and model training workflows. He combines deep test automation and CI/CD expertise—from Playwright and Selenium UI tests to Jenkins pipelines and Terraform/GitOps orchestration—across cloud environments including AliCloud, AWS and Azure. His background spans enterprise-grade QA and security tooling (SonarQube, OWASP ZAP, Snyk) and performance testing with Java/Python and JMeter, making him equally comfortable with backend APIs and web UI automation. At IKEA and Deloitte he led observable, production-ready release pipelines and service-mesh/API gateway testing, bringing operational rigor to developer workflows. He also has hands-on experience building human-in-the-loop QA platforms and automating human QA result consolidation, a practical skill that bridges ML data needs with engineering processes. Fluent in Japanese, English and Chinese, he has a track record of solving corner-case data and low-yield issues by combining analytics with automated corrective actions.
9 years of coding experience
12 years of employment as a software developer
学士 软件工程, 学士 软件工程 at Harbin Institute of Technology
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