Samuel Hughes
San Diego, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSamuel Hughes is a seasoned software engineer with 16 years of experience building and maintaining complex distributed systems, particularly databases and storage engines. He was a core contributor and maintainer of RethinkDB, making deep changes to storage, indexing, and geospatial internals, and has since applied that low-level systems expertise to performance-critical work like migrating Cube Store to Apache DataFusion. His career spans startups and enterprise projects—from embedded audio players and financial modeling tools to improving consistency and resilience in graph databases like Dgraph—demonstrating strong debugging instincts and C++/systems fluency. Based in San Diego, he blends practical production maintenance with architectural improvements, shipping both features and critical bug fixes in long-lived codebases. Unusually for someone focused on databases, he also has hands-on experience with embedded systems, JNI bindings, and even lab instrumentation software, reflecting a broad appetite for tricky engineering problems.
16 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree, Mathematics and Computer Science, Bachelor’s Degree, Mathematics and Computer Science at Rensselaer Polytechnic Institute
Stackoverflow
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Github Skills (9)
data-structures10
databases10
query-optimization10
c-language10
cprogramming-language10
indexing10
performance-optimization10
data-structure10
database10
Programming languages (18)
Github contributions (5)
rethinkdb/rethinkdb
Oct 2010 - Jan 2023
The open-source database for the realtime web.
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:2 releases, 25 reviews, 9729 commits in 12 years 5 months
Contributions summary:Samuel made modifications to core data structures and algorithms within the RethinkDB project, including changes to the database system's data storage and indexing mechanisms. These changes involved modifications to various internal data structures, such as b-trees, and enhancements to the geospatial capabilities, with specific focus on the internal data format for binary data and ensuring the proper application of range queries over multiple nodes. The user also touched on low-level storage details and code related to query optimization and execution, indicating a strong understanding of the database internals.
database
srh/rethinkdb
Jan 2017 - Nov 2022
The open-source database for the realtime web.
Contributions:12 releases, 870 commits, 453 pushes in 5 years 11 months
database
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