Alexi Doak
Software Engineer at Elastic
Portland, Oregon, United States
Summary
🤩
Rockstar🎓
Top SchoolAlexi Doak is a software engineer based in Portland, Oregon with three years of professional experience building reliable back-end systems and test automation, currently contributing to Elastic’s widely used Kibana project on alerting features. With a dual focus in Computer Science and Biology from Gettysburg College, Alexi brings interdisciplinary rigor—applying bioinformatics and research-assisted problem solving to production engineering. He has a strong practical toolkit in Python, Java, Matlab, and Excel and has implemented end-to-end rule creation flows, API tests, and event-log reliability improvements for alerting and auto-recovery. Prior roles at Asymmetrik and academic research labs show a pattern of moving research-grade tooling into maintainable, testable software.
4 years of coding experience
6 years of employment as a software developer
High School, High School at Boonsboro High SchoolBachelor’s Degree, Computer Science and Biology, Senior, Bachelor’s Degree, Computer Science and Biology, Senior at Gettysburg College
English
Github Skills (17)
test-automation10
apidoc10
amazon-elasticsearch9
aws-elasticsearch9
elasticsearchquery9
api9
elasticsearch-api9
elasticsearch9
rest-api8
kibana8
api-rest8
restful-api8
api-design8
back-end-development8
typescript7
Programming languages (1)
Github contributions (5)
elastic/kibana
Jul 2022 - Jan 2023
Your window into all of your data
Role in this project:
Back-end Developer & QA Engineer / Test Automation Engineer
Back-end Developer & QA Engineer / Test Automation EngineerContributions:767 reviews, 55 commits, 529 PRs in 6 months
Contributions summary:Alexi primarily contributed to the back-end functionality, focusing on implementing and testing alerting features. They implemented a new rule creation/editing flow. The user was also involved in the creation of various types of tests, including functional tests, test cases for API requests, and testing for the generation and handling of event logs. They appear to be working on improving the reliability of the alerting system, particularly with respect to features like auto-recovery and the display of rule status information.
elasticdashboardskibanaobservabilitywindow
doakalexi/kibana
Jul 2022 - Jul 2026
Your window into the Elastic Stack
Contributions:4 PRs, 1741 pushes, 295 branches in 4 years
elasticelasticstack
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