Włodzimierz Żuk
Software Engineer at Datadog
Warsaw, Masovian Voivodeship, Poland
Summary
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Rockstar🎓
Top SchoolWłodzimierz Żuk is a software engineer with six years of professional experience building back-end systems and distributed, observability-focused pipelines. Currently at Datadog, he works on high-performance data processing and has contributed concrete improvements to the vectordotdev/vector project—adding parsing utilities and fixing critical remap/timestamp and encoding bugs for Datadog sinks. His background spans Amazon and F5 Networks and is grounded in AI research from Belarusian State University of Informatics and Radioelectronics and an MS in Artificial Intelligence from the University of Bath. He blends production-grade engineering with a research-minded interest in AI/ML, often tackling subtle data-encoding and parsing edge cases that improve reliability at scale. Based in Warsaw, he favors pragmatic solutions that bridge distributed systems engineering and machine intelligence.
6 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at University of BathArtificial Intelligence, Artificial Intelligence at Belarusian State University of Informatics and Radioelectronics
English, Polish, Russian
Github Skills (10)
observability10
rust10
data-pipeline10
s3-bucket9
amazon-s39
aws-s39
api8
testing8
apidoc8
datadog7
Programming languages (4)
Github contributions (5)
vectordotdev/vector
Mar 2021 - Nov 2022
A high-performance observability data pipeline.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:202 reviews, 147 commits, 101 PRs in 1 year 9 months
Contributions summary:Vladimir Zhuk primarily contributed to the back-end aspects of the observability data pipeline. His work focused on enhancing the DataDog logs sink by defining events and setting origin headers, adding new functions for parsing such as `parse_query_string`, `parse_linux_authorization`, and `parse_csv`. He also addressed critical bugs within the code, for instance, fixing an issue related to the timestamp function in the remap functionality and correcting encoding tags for the Datadog archives sink.
stream-processingeventspipelinerustdata-observability
DataDog/aHash
Mar 2023 - Mar 2023
aHash is a non-cryptographic hashing algorithm that uses the AES hardware instruction
Contributions:1 PR, 8 pushes, 9 tags in 1 day
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