Marlene Mhangami

Senior Developer Advocate

London, England, United Kingdom
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Summary

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Rockstar
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Top School
Marlene Mhangami is a Senior Developer Advocate at Microsoft with six years of experience bridging developer communities and scalable software engineering. She combines hands-on Python engineering—contributing backend features and bug fixes to high-profile projects like rapidsai/cudf, a GPU DataFrame library—with public-facing advocacy and curriculum work. Previously at NVIDIA and Voltron Data, and as a long-time PSF leader and founder of a nonprofit teaching girls to code, she blends machine-learning-informed technical depth with inclusive community building. As Director and Chair of ACM’s Practitioner Board she advises on product and engagement strategy, demonstrating a rare mix of open-source contribution, developer education, and organizational leadership.
code6 years of coding experience
job7 years of employment as a software developer
bookBachelor of Science - BS Molecular Biology, Bachelor of Science - BS Molecular Biology at Hanover College
bookBachelor of Science - BS Computer Science (Machine Learning and Artificial Intelligence), Bachelor of Science - BS Computer Science (Machine Learning and Artificial Intelligence) at University of London
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Stackoverflow

Stats
1reputation
0reached
0answers
0questions
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Github Skills (10)

pandas10
cudf10
python10
dataframe9
cprogramming-language9
c-language9
cuda9
dataframes9
parquet8
data-analysis7

Programming languages (11)

TypeScriptC#PowerShellC++CBicepSCSSJavaScript

Github contributions (5)

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rapidsai/cudf

Sep 2020 - Jul 2022

cuDF - GPU DataFrame Library
Role in this project:
userBack-end Developer
Contributions:269 reviews, 13 commits, 18 PRs in 1 year 10 months
Contributions summary:Marlene primarily contributed to the cuDF library, focusing on enhancing data manipulation functionalities. Their work involved implementing new methods, such as `map` for Series, and incorporating features like the `join` parameter in `concat`. They also addressed bug fixes related to reading Parquet files for empty DataFrames, handling the `acos` function with proper dtypes, and adding the `isocalendar` API. The user also worked on adding the `cut` method.
cudadataframe-librarydata-analysiscppcudf
A creative writing multi-agent solution to help users write articles.
Contributions:15 reviews, 344 PRs, 297 pushes in 10 months
agentsai-azd-templatesazd-templatesazureazure-ai-agent-service
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Marlene Mhangami - Senior Developer Advocate