Martin Majliš is a software engineer with a strong foundation in machine learning, distributed systems and backend development, shaped by roles at Amazon and Facebook and recent work in Prague. He has hands-on experience building production ML systems for site integrity, designing distributed services and load-testing infrastructures, and contributing to open-source observability via the OpenTelemetry Collector Contrib repository where he implemented and stabilized a dataset exporter for logs and traces. Comfortable across Python, Java, cloud and DevOps tooling, he has led teams from project inception to handover, mentored engineers, and driven architecture changes for large enterprise customers. A longtime tinkerer and entrepreneur, he also builds practical side projects (from social-media tooling to music-teaching video generators) that reveal a penchant for shipping useful automation. His background combines academic rigor in computational linguistics with pragmatic product delivery and a knack for bridging research, engineering and operations.
3 years of coding experience
16 years of employment as a software developer
PhD, Computational Linguistics, PhD, Computational Linguistics at Charles University in Prague, Faculty of Mathematics and Physics
Faculty, Electrical Engineering and Computer Science, Faculty, Electrical Engineering and Computer Science at VSB-Technical University
Contrib repository for the OpenTelemetry Collector
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:60 reviews, 19 PRs, 142 comments in 1 year 5 months
Contributions summary:Martin's contributions center around implementing and maintaining the dataset exporter within the OpenTelemetry Collector Contrib repository. They initially committed the dataset exporter, implementing both logs and traces support. Subsequent commits involved fixing issues, regenerating metadata, and refactoring code. The user also made configuration adjustments, including options for server host and retry shutdown timeouts. Furthermore, the user updated the library to include the latest features, focusing on stability.
The DataSet Add-on for Splunk provides integration with
Contributions:4 releases, 80 reviews, 62 PRs in 1 year 1 month
add-ondatasetsplunk
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