Shankar Selvam is a software engineer with 12 years of experience building large-scale back-end distributed systems, currently working on Meta’s cluster management system Tupperware/Twine. He specializes in reliability and scalability challenges, has presented his team’s work at Systems@Scale, and contributes to open-source data platforms like CDAP with a focus on backend refactoring and data model improvements. His career spans high-scale environments at Facebook and Google and foundational data engineering work at Cask Data and Intel, giving him deep operational and performance-analysis experience. He enjoys mentorship and code quality improvements, demonstrated by thoughtful code reviews and documentation contributions. Based in Fremont, California, he combines production engineering rigor with a track record of improving storage and retrieval subsystems in analytics frameworks.
An open source framework for building data analytic applications.
Role in this project:
Back-end Developer
Contributions:2 releases, 678 commits, 482 PRs in 4 years 5 months
Contributions summary:Shankar primarily contributed to the back-end development of the CDAP project, with focus on refactoring and commenting the codebase to improve code quality. The commits indicate a focus on refining data storage and retrieval in the context of a Cube data model. The user also addressed code review comments, demonstrating a commitment to code quality through style fixes and comment additions.
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