Georg Simbrunner
Senior Data Scientist
Vienna, Austria
Summary
🤩
Rockstar🎓
Top SchoolGeorg Simbrunner is a Senior Data Scientist based in Vienna with five years of hands-on experience building production-ready ML and observability solutions. He has progressed from software engineer and HPC team lead to architect and MLOps specialist, now applying that blend of systems thinking and data science at Dynatrace. Georg contributes to open-source observability tooling—most notably implementing Dynatrace-specific features in the widely used Micrometer project—bridging low-level API quirks with robust telemetry primitives. Trained in applied and technical mathematics (Imperial College & TU Wien) and with a background in philosophy, he combines rigorous quantitative methods with clear, pragmatic engineering judgment. Colleagues rely on him to translate complex performance and metric requirements into reliable, maintainable production components.
5 years of coding experience
8 years of employment as a software developer
Vienna University of TechnologyBachelor of Arts (B.A.) Philosophie, Bachelor of Arts (B.A.) Philosophie at University of ViennaMaster of Science (M.Sc.) Applied Mathematics, Master of Science (M.Sc.) Applied Mathematics at Imperial College London
German, English, French
Github Skills (11)
monitoring10
javas10
microservices-application10
observability10
microservices10
dynatrace10
java10
metric10
testing9
apidoc9
api9
Programming languages (15)
Github contributions (5)
micrometer-metrics/micrometer
Apr 2021 - Jan 2023
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:50 reviews, 14 commits, 32 PRs in 1 year 9 months
Contributions summary:Georg primarily contributed to the Dynatrace registry implementation within the Micrometer project. Their work involved modifying code to handle specific Dynatrace API requirements, such as truncating dimension values and adding response codes to log messages. They also refactored code, including renaming classes, and updated the library usage of the Dynatrace metrics library. Furthermore, the user made significant contributions by implementing new features like resettable distribution summaries and timers for the Dynatrace registry.
thinkobservabilityfacadeslf4japplication-metrics
dynatrace-oss/opentelemetry-metric-python
Feb 2021 - Dec 2022
Dynatrace OpenTelemetry Metrics Exporter for Python
Contributions:4 releases, 54 reviews, 21 commits in 1 year 9 months
exporterpythontracingmetrics-exporterobservability
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