Greg Lindahl

Research Scientist at Common Crawl Foundation

Palo Alto, California, United States
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Summary

🤩
Rockstar
Greg Lindahl is a research scientist and seasoned technology leader with 13 years of experience, currently serving as CTO at the Common Crawl Foundation and based in Palo Alto. He has founded and led engineering teams at blekko and PathScale, and worked as a scientist at SAO, blending startup grit with research-driven problem solving. Greg brings deep systems and infrastructure expertise, having shifted from founding CTO roles to stewarding large-scale open data and web-crawl initiatives. He contributes to open-source projects—improving testing, reliability, and atmospheric modeling in the poliastro astrodynamics library—showing a penchant for rigorous validation and scientific software. Known for bridging research and production, he favors pragmatic refactors that increase long-term reliability while keeping projects usable by the broader community.
code13 years of coding experience
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Stackoverflow

Stats
399reputation
14kreached
13answers
0questions
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Github Skills (14)

orbital-mechanics10
python10
scientific-computing10
astrodynamics10
testing10
pytest9
numpy9
java6
warc6
search-engine6
algorithm6
language-agnostic6
php6
webscraping6

Programming languages (21)

JavaC++JinjaCRustTeXScalaMakefile

Github contributions (5)

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poliastro/poliastro

Apr 2020 - Apr 2020

poliastro - :rocket: Astrodynamics in Python
Role in this project:
userBack-end Developer
Contributions:10 commits, 7 PRs, 25 comments in 5 days
Contributions summary:Greg focused on improving the testing infrastructure and reliability of the `poliastro` project. Their work involved fixing unit tests to match documentation examples, adding new test cases for atmospheric demise, and integrating a better atmospheric model. They also refactored code, and improved the handling of events during orbital propagation.
pythonsciencescientific-computingorbital-simulationspace-physics
wumpus/pandas-appender

Aug 2020 - Dec 2022

Append large numbers of rows to a Pandas DataFrame without worrying!
Contributions:60 commits, 15 PRs, 73 pushes in 2 years 4 months
pandas-dataframepandaspython
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