Yue Teng is a data scientist with a decade of experience applying analytics to drive user growth and monetization in streaming and consumer internet products, currently at Google after roles at ByteDance and Disney+ Hotstar. She holds an MS in Business Intelligence and Data Analytics from Carnegie Mellon and combines strong product intuition with hands-on backend engineering and DevOps experience from open-source contributions. Her engineering work spans CI/CD, service mesh performance (Istio), and security-focused vulnerability analysis, reflecting a rare blend of data science and production infrastructure fluency. At ByteDance she helped scale payment and BNPL user acquisition through data-driven marketing strategies, and at Hotstar focused on subscription and engagement growth for streaming video. Comfortable moving models to production, she is interested in product, sports, and marketing analytics for entertainment and internet companies. A detail-oriented collaborator, she has improved code quality and added core backend features across notable projects like Istio and gojenkins.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Information Management and Information System, Bachelor of Science - BS Information Management and Information System at Shanghai University of Finance and Economics
Master of Science - MS Business Intelligence and Data Analytics, Master of Science - MS Business Intelligence and Data Analytics at Carnegie Mellon University
Summer School Business Communication, Summer School Business Communication at University of Pennsylvania
Powerful workflow engine and end-to-end pipeline solutions implemented with native Kubernetes resources. https://cyclone.dev
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:10 releases, 232 commits, 337 PRs in 3 years 5 months
Contributions summary:Yue contributed to fixing typos in the codebase, indicating a focus on code quality. They also added project data structures and support for CRUD operations, suggesting involvement in building the backend infrastructure. Furthermore, the user added pipeline and webhook features, demonstrating their responsibilities in developing and maintaining the continuous integration and continuous delivery (CI/CD) pipelines.
Contributions:7 commits, 9 PRs, 53 comments in 9 months
Contributions summary:Yue primarily contributed to the `klar` project by enhancing its vulnerability analysis capabilities. They modified the core logic within the `clair` package to filter empty layers and analyze vulnerabilities based on the non-empty top layer of a Docker image. The user also implemented functionality to filter vulnerabilities for JSON output and added support for setting a severity level threshold for output. This indicates a focus on improving the security analysis features of the project.
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