Walter Rafelsberger is a Principal Machine Learning Engineer at Elastic with 13 years of experience combining machine learning and data visualization, a practice he’s pursued since 2003. Based in Tyrol, Austria, he drives production-grade ML and dataviz features for the Elastic Stack and contributes backend fixes and test coverage to high-profile projects like Kibana, notably improving APM latency correlation handling. His background includes EU FP7 research on media monitoring, social media and fake news, informing a pragmatic approach to real-world data quality and signal interpretation. Colleagues know him for consolidating complex code paths, preventing redundant behaviors, and ensuring correct empty-state rendering under load. He blends deep technical craft with a research-informed perspective and a contrarian, creative mindset that favors practical, user-focused solutions.
Contributions:1325 reviews, 975 commits, 2302 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.
:bar_chart: Kibana analytics and search dashboard for Elasticsearch
Contributions:4 PRs, 3335 pushes, 2235 branches in 8 years 9 months
elasticsearchkibana
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