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: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.
Contributions:26 commits, 23 pushes, 1 branch in 1 year 11 months
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Walter Rafelsberger - Principal Machine Learning Engineer at Elastic