Bo Marchman
Software Engineer III at Google
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolBo Marchman is a backend-focused software engineer with 13 years of experience, currently at Google in New York, who is intentionally moving deeper into databases, networking, and foundational internet infrastructure. He combines production backend work with a strong QA and test-automation background evidenced by contributions to high-profile open-source projects like IPython and scikit-learn, where he improved robustness and error handling through targeted tests. A Dartmouth computer science graduate, Bo has experience in academic and research settings as well as industry, showing a knack for making complex systems more resilient and user-friendly. Notably, his open-source work replaced ambiguous warnings with clearer UsageErrors and added edge-case tests—small changes that materially improve developer and end-user experience.
13 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Dartmouth College
Github Skills (12)
testing10
scikit-learn10
unit-testing10
notebook10
debug10
ipython10
python10
scikit10
data-science9
test-automation9
machine-learning9
error-handling9
Programming languages (11)
Github contributions (5)
scikit-learn/scikit-learn
Feb 2013 - Feb 2013
scikit-learn: machine learning in Python
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:18 commits in 3 days
Contributions summary:Bo focused on adding, modifying, and expanding the testing framework for the scikit-learn library. Their work included creating new test cases to cover edge cases for feature extraction components like TfidfTransformer and CountVectorizer. They also added tests to improve code coverage, particularly for VectorizerMixin and the handling of stop words.
data-analysispythonstatisticsdata-sciencelearn-machine-learning
ipython/ipython
Jan 2013 - Feb 2013
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:9 commits in 7 days
Contributions summary:Bo's contributions focused on improving the quality and robustness of the IPython project by implementing and fixing tests. They added tests for specific issues related to string formatting errors and ensured that the `%run` magic function behaved correctly under various conditions. Furthermore, the user addressed warnings related to empty cells with magic commands, enhancing user experience and error handling. They also replaced warnings with UsageErrors for more informative error messages.
documentation-websitepythondata-sciencebuildsnotebook
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