Rehan Durrani
Senior Software Engineer at Apple
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolRehan Durrani is a Senior Software Engineer with a decade of experience building distributed systems that power ML and data science workflows, currently based in the San Francisco Bay Area and working at Apple. He combines deep research roots from UC Berkeley's RISELab with hands-on startup and product experience as a founding engineer at Ponder (acquired by Snowflake) and contributions at Snowflake and Determined AI. Rehan is an active open-source contributor—helping scale pandas via Modin by implementing critical DataFrame-to-NumPy integrations—and specializes in abstracting distributed computing complexity so ML practitioners can work at scale without needing systems expertise. He’s published and presented research on model serving, multi-tenant GPU utilization, and DataFrame algebra, and has led and mentored engineering teams through ideation to production. Pragmatic and customer-focused, he pairs low-level systems engineering (Ray, Docker, AWS/GCP) with ML framework fluency (PyTorch, TensorFlow, pandas) to deliver performant, user-friendly tooling.
10 years of coding experience
7 years of employment as a software developer
Honors in Electrical Engineering and Computer Science Systems & ML Research, Honors in Electrical Engineering and Computer Science Systems & ML Research at University of California, Berkeley
Stackoverflow
121reputation
23kreached
3answers
1question
Github Skills (16)
dataframes10
pandas10
modin10
python10
data-science10
dataframe10
distributed-computing10
numpy10
analytics9
ray9
data-engineering8
windows6
docker6
sql6
metabase6
Programming languages (8)
Github contributions (5)
modin-project/modin
Jul 2019 - Dec 2022
Modin: Scale your Pandas workflows by changing a single line of code
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:8 releases, 799 reviews, 35 commits in 3 years 5 months
Contributions summary:Rehan primarily contributed to the implementation of the `to_numpy` method and its integration across different engines, including Python and Ray. Their work focused on converting the Modin DataFrame to NumPy arrays, testing the functionality, and ensuring that it is correctly applied to the existing engine code base. They also added to the frame manager and query compiler by adding the values method, the __array__ and to_matrix methods and addressing some formatting issues. The user also addressed an issue with the S3 filesystem.
analyticspythonline-of-codedata-sciencedataframe
harbor-ml/modelzoo
May 2019 - Jan 2020
Live Machine Learning Model Zoo
Contributions:1 release, 220 commits, 26 PRs in 7 months
pythonmxnetdeep-learningmachinelearningmachine-learning
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