Walter Rafelsberger
Principal Machine Learning Engineer at Elastic
Kössen, Tyrol, Austria
Summary
🤩
RockstarWalter Rafelsberger is a Principal Machine Learning Engineer at Elastic with 12 years of experience who blends machine learning and dataviz expertise dating back to 2003. He moved from FP7 research on media monitoring, social media and fake news into production-grade observability, contributing back-end fixes and test-backed improvements to Kibana’s APM latency correlations. Based in Kössen, Tyrol, he focuses on robust, pragmatic implementations that eliminate redundant state and ensure correct behavior in large open-source stacks. With a left-libertarian, self-described “chaotic good” outlook, he pairs curiosity and contrarian thinking with rigorous engineering to tackle complex data-visualization problems.
13 years of coding experience
Stackoverflow
852reputation
61kreached
9answers
4questions
yaml
top-5%
Github Skills (23)
unit-testing10
jestjs10
jtest10
unit-test10
javascript9
typescript9
typescript-types9
yaml9
react9
typescripts9
elasticsearch8
elasticsearch-api8
elasticsearchquery8
aws-elasticsearch8
amazon-elasticsearch8
Programming languages (9)
Github contributions (5)
elastic/kibana
Jan 2018 - Jan 2023
Your window into the Elastic Stack
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1252 reviews, 975 commits, 2239 PRs in 5 years 1 month
Contributions summary:Walter primarily worked on fixing and improving APM Latency Correlations within the Kibana repository, focusing on ensuring correct empty state rendering and preventing redundant information. Their contributions included adding unit tests and addressing issues related to search strategies and the cancellation of related processes. The user also consolidated and improved code, updating API integration tests with changes required by ES code.
elasticdashboardskibanaobservabilitywindow
walterra/visualization
May 2017 - Apr 2019
Contributions:26 commits, 23 pushes, 1 branch in 1 year 11 months
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