Brian Mcgue
Founding Engineer at Thread
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolBrian Mcgue is a founding engineer based in San Francisco with 12 years of experience building backend systems and APIs for search and enterprise platforms. He spent several years at Elastic contributing significant backend work to Kibana and Enterprise Search—designing endpoints, index mappings, document querying, and machine learning inference pipelines for an influential open-source stack. Brian has moved between hands-on engineering and people leadership roles, including staff and manager positions at Notable and a recent founding role at Thread. He volunteers technical expertise for early-stage startups, demonstrating a willingness to ship product-focused features outside of formal roles. With a math degree from Davidson and software training from App Academy, he combines strong analytical rigor with practical engineering craftsmanship. Colleagues would describe him as a backend specialist who surfaces hidden complexity into reliable, production-ready services.
12 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Davidson CollegeComputer Software Engineering, Computer Software Engineering at App Academy
Github Skills (14)
elasticsearch10
elasticsearchquery10
api10
aws-elasticsearch10
back-end-development10
apidoc10
kibana10
elasticsearch-api10
amazon-elasticsearch10
typescript-types9
typescript9
typescripts9
nlp8
dashboard6
Programming languages (9)
Github contributions (5)
elastic/kibana
Jun 2022 - Nov 2022
Your window into the Elastic Stack
Role in this project:
Back-end Developer
Back-end DeveloperContributions:124 reviews, 9 commits, 21 PRs in 4 months
Contributions summary:Brian's commits primarily focus on enhancing the Enterprise Search feature set within the Kibana repository. Their work involves creating endpoints, implementing search functionality, and modifying existing code. They also contribute to index mapping, document querying, and implementing machine learning inference pipelines. These changes demonstrate a focus on backend logic, API development, and integrating new features into the Elasticsearch-based platform.
elasticdashboardskibanaobservabilitywindow
brianmcgue/kibana
Jan 2022 - Apr 2023
Your window into the Elastic Stack
Contributions:2 PRs, 49 pushes, 17 branches in 1 year 3 months
elasticwindowelastic-stackelasticsearch
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