Przemysław Witek is a seasoned software engineer with nine years of experience building large-scale distributed systems and machine learning features for search and cloud platforms. He has held senior engineering and tech lead roles at Google and Elastic, and is currently at Dropbox, bringing deep expertise in Managed Instance Groups, Elastic ML APIs, and transform pipelines. At Elastic he contributed to core Elasticsearch backend features—improving anomaly detection timing, Transform API functionality and metadata handling—showing a knack for both performance tuning and API design. His background in theoretical computer science from Jagiellonian University complements a pragmatic approach to system reliability and automation. Based in the Cracow metropolitan area, he blends enterprise-scale engineering with active open-source contributions to one of the most widely used search engines. Colleagues describe him as an engineer who moves seamlessly between low-level systems work and product-facing ML integrations.
9 years of coding experience
17 years of employment as a software developer
High School Mathematics Physics and Computer Science, High School Mathematics Physics and Computer Science at I LO
Master's Degree Theoretical Computer Science, Master's Degree Theoretical Computer Science at Jagiellonian University
Free and Open Source, Distributed, RESTful Search Engine
Role in this project:
Back-end Developer
Contributions:740 reviews, 475 commits, 1143 PRs in 3 years 10 months
Contributions summary:Przemysław primarily contributed to the back-end development of the Elasticsearch search engine. Their work involved removing unused methods, improving timing statistics reporting for anomaly detection jobs, and implementing features related to the transform API, such as creating a `_meta` field for TransformConfig, allowing for the passing of a `from` parameter to the Transform Start API, supporting `aggregate_metric_double` and implementing the ability to preview the existing transform. These contributions involved modifying core functionality and improving the system's performance and features.
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