Eero Vaher
PhD Candidate
Lund, Skåne County, Sweden
Summary
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RockstarEero Vaher is a PhD candidate in Astronomy based in Lund with seven years of software engineering experience focused on scientific back-end systems. He contributes to prominent open-source astronomy projects like Astropy and Astroquery, where he improved VOTable I/O, unit handling, and added regression tests to ensure robust Gaia archive queries. Eero excels at refactoring legacy code and raising code quality, having removed deprecated utilities and hardened test coverage across interdependent libraries. His blend of domain research and practical engineering lets him bridge astrophysical data formats and production-grade tooling—an asset for teams working at the intersection of research and reliable software.
7 years of coding experience
Github Skills (8)
unit-testing10
astropy10
pytest10
unit-test10
python10
astronomy10
api8
apidoc8
Programming languages (6)
Github contributions (5)
astropy/astropy
Nov 2020 - Jan 2023
Astronomy and astrophysics core library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1613 reviews, 136 commits, 376 PRs in 2 years 2 months
Contributions summary:Eero primarily contributed to the Astropy project's I/O and unit handling capabilities, specifically focusing on the VOtable format. Their commits involved implementing and refining unit format recognition within VOTables, making these version-dependent and addressing related bugs. Additionally, the user addressed code quality concerns within this area by correcting the formatting of the code.
astrologypythonscienceastrophysicsastrodynamics
astropy/astroquery
Sep 2021 - Jan 2023
Functions and classes to access online data resources. Maintainers: @keflavich and @bsipocz and @ceb8
Role in this project:Back-end Developer & QA Engineer / Test Automation Engineer
Back-end Developer & QA Engineer / Test Automation EngineerContributions:166 reviews, 75 commits, 38 PRs in 1 year 3 months
Contributions summary:Eero primarily contributed to the refactoring and improvement of the `astroquery` library by removing deprecated code, specifically related to utility functions and the `six` package. They also introduced regression tests to ensure correct table retrieval from the Gaia archive, and updated existing tests to reflect changes in the underlying `astropy` library. Furthermore, they added and updated tests to ensure that different units are being used for different inputs.
pythondataastropy-affiliatedastropyastronomy
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