Ayush Kumar

Senior Software Engineer at Google

Bengaluru, Karnataka, India
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Summary

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Senior
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Top School
Ayush Kumar is a Senior Software Engineer with 11 years of experience, currently at Google after senior roles at Microsoft and Walmart Global Tech India. He specializes in GPU computing and high-performance data tooling, contributing 100+ commits to NVIDIA RAPIDS—notably fixes and usability improvements in the widely used cuDF GPU DataFrame library. A founding member of Walmart’s GPU Centre of Excellence and an active Kubeflow and JupyterLab contributor, he blends production-grade backend engineering with deep open-source collaboration. An IIT Guwahati CS graduate, he pairs a strong systems background with a continual learning mindset and a track record of turning niche GPU optimizations into tangible developer-facing improvements.
code11 years of coding experience
job7 years of employment as a software developer
bookBachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Indian Institute of Technology, Guwahati
languagesEnglish, Hindi
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Github Skills (7)

dataframes10
cudf10
python10
dataframe10
testing9
c-language8
cprogramming-language8

Programming languages (9)

TypeScriptJavaC++RustJavaScriptGoJupyter NotebookCuda

Github contributions (5)

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NVIDIA/cudf

Oct 2018 - Jan 2020

cuDF - GPU DataFrame Library
Role in this project:
userBack-end Developer
Contributions:212 commits, 27 PRs, 135 comments in 1 year 2 months
Contributions summary:Ayush primarily contributed to the cuDF project by fixing bugs related to displaying and handling dataframes. They implemented fixes for printing empty dataframes, handling empty columns, and addressing issues in the `copy()` method. These changes involved modifications to the core dataframe and formatting files, alongside associated test cases, which improved the overall dataframe functionality and usability. Additionally, the user applied suggestions to improve the formatting of the dataframe display, streamlining the project's overall performance.
cudfdataframegpurapidsarrow
AK-ayush/cudf

Oct 2018 - Aug 2020

cuDF - GPU DataFrame Library
Contributions:281 pushes, 76 branches in 1 year 10 months
cudadataframe-librarycudfgpu-accelerationmpi
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