Mateusz Wos
Krakow, Lesser Poland Voivodeship
Summary
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RockstarMateusz Woś is a pragmatic software engineer with nine years of experience building and scaling backend systems, currently based in Kraków and working at Resend. He has led teams and co-founded a startup focused on customer retention, and brings hands-on experience across Python, Kotlin, Go, distributed data pipelines, and marketplace integrations. At ShopRunner he redesigned order management and migrated legacy systems, and his open-source contributions include meaningful enhancements to the widely used shopspring/decimal Go library and test fixes for pandas. Mateusz combines pragmatic engineering (his GitHub bio: "pretending hard to work hard") with a habit of reducing technical debt and improving maintainability through refactors and CI/CD automation. He’s comfortable moving between infra, data processing, and product-facing integrations, and often surfaces small, high-impact optimizations others overlook.
9 years of coding experience
Github Skills (16)
golang10
testing10
pandas10
bigint10
go10
pytest10
python10
test-automation10
data-analysis10
algorithms9
data-science9
data-structure9
algorithm9
data-structures9
mathematics8
Programming languages (8)
Github contributions (5)
shopspring/decimal
Nov 2019 - Apr 2022
Arbitrary-precision fixed-point decimal numbers in Go
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 62 reviews, 20 commits in 2 years 5 months
Contributions summary:Mateusz primarily contributed to the core functionality and optimization of the Go library for arbitrary-precision fixed-point decimal numbers. Their work included adding support for Go modules, optimizing memory usage by removing unnecessary rescaling, and implementing new helper methods for BigInt and BigFloat conversions. Further contributions involved implementing methods like `IsInteger`, `RoundUp`, `RoundDown`, and the natural logarithm (`Ln`) function, improving the overall functionality of the library. The user also refactored and improved documentation and implemented a new initialization function.
arbitrary-precisiondecimal-numbersfixed-pointgodecimals
pandas-dev/pandas
Oct 2018 - Feb 2019
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:6 commits, 6 PRs, 25 comments in 3 months
Contributions summary:Mateusz's commits focus on fixing import formats within the `pandas` testing directory. They have specifically modified various test files, including those related to parsing, extension functionalities, and other areas, to ensure correct import statements. These changes improve the test suite's maintainability and prevent potential issues. They have modified test files related to parsing, extension functionalities, and dtypes.
data-analysisdata-structuredata-structurespythonpandas
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