Artur Sadurski is a QA Team Leader and data-minded engineer with 11 years of experience blending Python development, data science and localization expertise to improve data quality and delivery at Zyte. He leads QA resources and hiring while designing automated, AI-powered data quality tests, company-wide sampling metrics and the Zyte Data schema, demonstrating a rare mix of team leadership and hands-on engineering. Artur’s background in language technology and localization informs his open-source contributions—most notably adding Thai parsing and nuanced regex fixes to the widely used dateparser library—bringing linguistic sensitivity to engineering problems. Comfortable across cloud, container and ML stacks (AWS/GCP, Docker, TensorFlow/Keras) and with production ETL tooling (Scrapy, Puppeteer, BigQuery), he excels at turning messy multilingual data into reliable, testable pipelines. Known as an open-minded generalist, he proactively bridges product, data and localization needs to deliver pragmatic, well-tested solutions.
11 years of coding experience
6 years of employment as a software developer
Master of Arts (M.A.) Polish Language and Literature, Master of Arts (M.A.) Polish Language and Literature at Katolicki Uniwersytet Lubelski Jana Pawła II
Contributions:5 releases, 114 commits, 64 PRs in 7 years 4 months
Contributions summary:Artur's commits focused on adding and improving support for the Thai language in the `dateparser` library. They implemented initial support for Thai, including defining weekdays, months, and relevant date formats. The user then expanded this support by adding and refining the logic for freshness date parsing in Thai. The user also addressed word boundary issues, added more tests to ensure accuracy and improved regex patterns for Thai language processing. The work involved modifying core parsing logic and tests within the library.
A Postgres-backed ContentsManager implementation for IPython
Contributions:4 pushes in 3 years
pythonpsqlpostgresbackedpostgresql
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