Mayank Kumar
Software Engineer at amzn
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolMayank Kumar is a software engineer with 11 years of hands-on experience, currently based in Seattle and pursuing advanced studies in computer science at Georgia Tech. He balances deep technical curiosity with practical engineering—contributing significant tooling to the eGPU community (notably enhancements to purge-wrangler that added installers, recovery and backup features) while also shipping work during internships at Amazon and mobile development at Swisk. A self-described "code artist," he favors meticulous, readable implementations and enjoys exploring open source projects as both a contributor and moderator. His background includes teaching and course assistance roles, reflecting an ability to communicate complex ideas clearly. Outside of traditional engineering, he maintains a creative outlet through a YouTube channel focused on anime music videos, hinting at a blend of technical discipline and creative sensibility.
11 years of coding experience
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of TechnologyBachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at University of Massachusetts Amherst
English, Hindi
Stackoverflow
901reputation
122kreached
3answers
2questions
Github Skills (21)
scripting10
bash10
script10
sh10
macos10
shell10
command-line-interface9
debugging9
system-administration9
scripting-language8
interfacing8
hardware-interface8
nvidia7
gpu6
google-places-api6
Programming languages (7)
Github contributions (5)
mayankk2308/purge-wrangler
Apr 2018 - Jun 2021
AMD & NVIDIA eGPUs for all Thunderbolt Macs.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:50 releases, 353 commits, 3 PRs in 3 years 2 months
Contributions summary:Mayank made numerous changes to the purge-wrangler.sh script, which is designed to enable eGPU support on Thunderbolt Macs. Their contributions included refactoring code for readability, fixing indentation issues, and implementing features such as an uninstaller, and automatic web driver installation for NVIDIA GPUs. Furthermore, the user added system recovery options, improved backup systems, and incorporated Ti82 support, demonstrating a focus on feature implementation and system maintenance within the eGPU ecosystem.
amdegpumacsmojavenvidia
mayankk2308/mkdatadetector
Jul 2017 - Jun 2019
Contributions:17 releases, 144 commits, 145 pushes in 2 years
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