Rick Boyd
Performance Engineer at Nuna Inc.
Cleveland, Ohio, United States
Summary
🤩
Rockstar🎓
Top SchoolRick Boyd is a performance engineer with a decade of experience building and optimizing distributed systems and data pipelines across startups and enterprise teams. He has driven performance work at Nuna and Elastic and previously led performance efforts for IBM Watson Health, blending hands-on coding with automated testing and benchmarking. An active contributor to Elastic's Rally benchmarking tool and tracks, he has improved API behavior, test coverage, and added solutions for logs, security, and dense vector search. Known for turning performance findings into concrete engineering changes, he focuses on measurable improvements to throughput, latency, and operational resilience. Based in Cleveland, he combines a B.S. in Mathematics with a pragmatic engineering approach that spans back-end systems, observability, and cluster-scale benchmarking. Colleagues rely on him for both deep analysis and the practical automation needed to keep complex systems performant in production.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.) Mathematics, Bachelor of Science (B.S.) Mathematics at Eastern Michigan University
Github Skills (18)
asynchronous10
benchmark10
python10
apidoc10
async10
amazon-elasticsearch10
testing10
benchmarking10
asyncio10
elasticsearchquery10
api10
aws-elasticsearch10
elasticsearch10
elasticsearch-api10
data-science8
Programming languages (7)
Github contributions (5)
elastic/rally-tracks
Feb 2021 - Nov 2022
Track specifications for the Elasticsearch benchmarking tool Rally
Role in this project:
Back-end Developer
Back-end DeveloperContributions:101 reviews, 58 commits, 49 PRs in 1 year 9 months
Contributions summary:Rick primarily worked on the `elastic/rally-tracks` repository, a project related to benchmarking Elasticsearch. Their contributions focused on updating and maintaining track specifications, including API changes and ensuring backward compatibility. The user also introduced new solution-oriented tracks for Logs and Security, demonstrating involvement in expanding the project's capabilities. Further work included testing and adding support for dense vector search capabilities.
benchmarkingrallyspecificationselasticsearch
elastic/rally
Oct 2020 - Nov 2022
Macrobenchmarking framework for Elasticsearch
Role in this project:Back-end Developer
Back-end DeveloperContributions:2 releases, 163 reviews, 48 commits in 2 years
Contributions summary:Rick contributed significantly to enhancing the `elastic/rally` framework, specifically in the areas of testing and API interaction. They implemented features such as custom headers and request timeouts. The user also updated the testing framework, adding several tests and modifying existing ones, particularly focusing on bulk indexing and cluster health checks. Further contributions focused on refactoring and restructuring existing code for improved maintainability.
benchmarkbenchmarkingelasticsearch
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