Albert Shau is a senior software engineer with over a decade of experience building large-scale, data-driven systems for companies like Google, Yahoo, Box, and Cask Data. He specializes in machine learning for content optimization and recommendation systems, operating on Hadoop ecosystems and cloud platforms to process multi-terabyte datasets. At Google he focuses on Google Cloud, and his open-source contributions to the CDAP project show a practical eye for security and robust data-management features. With an MS from Stanford and a BS in EECS from UC Berkeley, he blends rigorous academic training with hands-on backend engineering and a track record of improving API security and scalable data pipelines.
12 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), EECS, 3.6, Bachelor of Science (B.S.), EECS, 3.6 at UCBerkeley
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at Stanford University
An open source framework for building data analytic applications.
Role in this project:
Back-end Developer
Contributions:1 release, 1267 reviews, 2412 commits in 9 years 6 months
Contributions summary:Albert's commits primarily focus on addressing security-related issues and implementing features for data management. They improved API security with HTTPS and implemented several security changes, while also working on enhancements to the internal codebase. Additionally, the user was involved in solving a bug related to data processing.
Contributions:3 reviews, 10 PRs, 8 pushes in 3 years 11 months
cdap-plugindata-analysisemrsparkcdap
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