Nathan Wilkinson
Software Engineer at Weaviate
Salt Lake City, Utah, United States
Summary
🤩
Rockstar🎓
Top SchoolNathan Wilkinson is a software engineer with a decade of experience building scalable backend systems and data platforms, particularly for life sciences and large-scale biological datasets. He has helped design infrastructure that processes tens of billions of rows and terabytes of imaging data, and released one of the largest public protein/chemical binding datasets used for ML research. Currently at Weaviate, he contributes to the reliability and cluster-management of a popular open-source vector database, improving Raft statistics, logging, and dynamic log configuration. His background spans high-throughput genomics pipelines, payments infrastructure at Stripe, and production-grade ML tooling, giving him a rare mix of domain expertise and systems-level engineering. Based in Salt Lake City, he combines practical performance-oriented engineering with an eye for observability and reproducibility in data-heavy applications.
11 years of coding experience
8 years of employment as a software developer
The University of Utah
English, Spanish
Github Skills (17)
back-end-development10
distributed-systems10
vector-database10
go10
raft10
grpc10
apidoc9
cluster-manager9
api9
clustering9
logging9
cluster-api9
database8
database-administration8
databases8
Programming languages (13)
Github contributions (5)
weaviate/weaviate
Jan 2024 - Jan 2026
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:242 reviews, 159 PRs, 406 pushes in 2 years
Contributions summary:Nathan focused on improving the Weaviate's back-end functionality, specifically in areas related to cluster management and data consistency. Their contributions include implementing and improving internal statistics related to Raft, a distributed consensus algorithm crucial for data management. The user also worked on improving logging and formatting within the cluster, indicating a focus on system stability and maintainability. Furthermore, they addressed potential flakiness in the service readiness checks and enhanced the API to configure log levels dynamically.
cloud-nativefault-tolerancevector-databasevector-searchweaviate
nathanwilk7/zcloud
Dec 2017 - Apr 2018
Contributions:26 PRs, 48 pushes, 28 branches in 4 months
cloud-agnosticprovidercloud-computingagnosticcloud
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