Miroslav Šedivý

Vienna, Austria

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Summary

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Rockstar

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Top School

Miroslav Šedivý is a multilingual software engineer based in Vienna with 10 years of experience modernizing and maintaining Python back-end systems and DevOps pipelines. He has a strong open-source track record, contributing to widely used projects like Apache Airflow, osmnx and tox by upgrading Python compatibility, refactoring for readability, and improving CI/CD workflows. His work repeatedly focuses on pragmatic modernization—replacing legacy Python 2 patterns with pathlib, f-strings, zoneinfo, and monotonic timers—to reduce technical debt and ease long-term maintenance. Beyond core engineering, he has improved internationalization in libraries such as faker and mimesis, adding locale-specific providers and Slovak support. Comfortable across testing, build infrastructure, and API libraries, he brings both code-level craftsmanship and operational sensibility. Colleagues value his consistent, detail-oriented refactors that quietly make popular tooling more robust and future-proof.

10 years of coding experience

Master of Science (M.Sc.), Informatik, Master of Science (M.Sc.), Informatik at INSA Lyon - Institut National des Sciences Appliquées de Lyon

Erasmus, Informatik, Erasmus, Informatik at Karlsruher Institut für Technologie (KIT)

toki pona, Turkish, Swedish, Chinese, Portuguese, Hungarian, Esperanto, Russian, Polish, Italian, Spanish, English, French, German, Czech, Slovak

Github Skills (71)

datetime10

python10

api-client10

testing10

gps10

command-line-interface10

refactor10

datasets10

automation10

code-migration10

pdf-generation10

refactoring10

units-of-measurement10

apache-airflow10

internationalization10

Programming languages (13)

JavaC++CRustHTMLJupyter NotebookKotlinShell

Github contributions (5)

PyTables/PyTables

Dec 2020 - Jan 2021

A Python package to manage extremely large amounts of data

Role in this project:

Back-end Developer

Contributions:32 reviews, 64 commits, 54 PRs in 1 month

Contributions summary:Miroslav primarily contributed to the codebase by refactoring and applying code improvements to the Python code. They modernized the code by using f-strings, implicit access of dict keys, and simplifying range loops. They also worked on improving the documentation by fixing typos and removing repeated words. Furthermore, the user cleaned up Python 2 ImportError hacks and worked on code optimization, such as compacting instance candidates.

amountspython-packagepythondata

joke2k/faker

May 2020 - Jan 2021

Faker is a Python package that generates fake data for you.

Role in this project:

Back-end Developer & Localization Specialist

Contributions:2 reviews, 8 commits, 11 PRs in 8 months

Contributions summary:Miroslav primarily contributed to the `faker` library by adding and enhancing locale-specific data providers. They implemented new providers for generating data related to national identification, such as birth numbers and VAT IDs, for languages like Slovak and German. The user also extended date/time functionalities by creating providers for multiple locales. These contributions expanded the library's capabilities for generating diverse, localized fake data, critical for testing and data generation.

pythontest-datatestingdummy-datadataset

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