Garrison Hess is a software engineer with nine years of experience building data-intensive systems, currently working on scalable data warehousing at Google after shaping core engine features at Sisu Data. He combines strong academic training (MS/BS in Computer Science with top grades from Carnegie Mellon and UCSD) with hands-on work in databases and analytics, including significant contributions to CMU's BusTub educational RDBMS where he implemented extendible hashing and refactored core storage structures. His background as a data scientist and research assistant informs a pragmatic, metrics-driven approach to feature design and performance tuning across large structured datasets. Comfortable across research and production, he has applied perception and systems skills at Anduril and Viasat and has a track record of turning analytic ideas into tested, documented code.
9 years of coding experience
4 years of employment as a software developer
University of California, San Diego
BA, Major in Economics; Minors in Math & Business, Major 3.9/4.0, BA, Major in Economics; Minors in Math & Business, Major 3.9/4.0 at Seattle University
MS, Computer Science, 3.9/4.0, MS, Computer Science, 3.9/4.0 at Carnegie Mellon University
The BusTub Relational Database Management System (Educational)
Role in this project:
Back-end Developer / Database Engineer
Contributions:14 reviews, 11 commits, 24 PRs in 10 months
Contributions summary:Garrison contributed significantly to the implementation of extendible hashing, a core data structure for database management. Their work included defining and implementing the directory and bucket page structures, along with associated methods for key-value insertion, retrieval, and removal. The user also added documentation, helper functions, and tests to improve code clarity and functionality. Moreover, they were involved in refactoring the code to align with coding standards and tooling updates.
Contributions:1 review, 23 PRs, 119 pushes in 1 year 2 months
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