Sumanth Gurram
Member Of Technical Staff at Decagon
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top SchoolSumanth Gurram is a Member of Technical Staff in the San Francisco Bay Area with six years building back-end, DevOps, and ML-infused infrastructure across research labs and high-growth companies. He has shipped production-grade tooling for AI workloads—contributing to SkyPilot’s CLI and multi-cloud adaptors to improve UX, cost reporting, and large-scale GPU job orchestration while at Berkeley RISE Lab. His background spans applied research and industry work at Apple, Meta, Nuro, and Zip, focusing on data storage, simulation-driven robot training, and AI dashboards. Comfortable bridging research and product, he blends EECS+Business training from UC Berkeley with hands-on engineering to turn complex distributed systems into usable developer tools. An avid open-source contributor, he quietly specializes in polishing cloud error handling and developer ergonomics that materially reduce operational friction.
7 years of coding experience
5 years of employment as a software developer
Bachelor of Science EECS + Business, Bachelor of Science EECS + Business at University of California, Berkeley
Telugu, English
Github Skills (17)
python10
command-line-interface10
cloud-infrastructure10
infrastructure10
command-line10
backend10
cli10
cloud-computing9
devops9
cost-management9
yaml8
microsoft-azure7
gcp7
aws7
azure7
Programming languages (3)
Github contributions (5)
skypilot-org/skypilot
Aug 2022 - Jan 2023
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:28 reviews, 7 commits, 25 PRs in 5 months
Contributions summary:Sumanth primarily contributed to the enhancement and maintenance of the SkyPilot CLI and infrastructure. Their work involved adding new features like the `--all` option for `sky start` and glob support for storage deletion. Additionally, the user addressed error messages in cloud adaptors (AWS, Azure, GCP) and added a `--no-setup` option to skip the setup phase. Furthermore, they were heavily involved in cost report and associated UI/UX improvements.
aisupercomputercloud-computingdeep-learninggpu
sumanthgenz/skypilot
Aug 2022 - Jul 2023
SkyPilot is a framework for easily running machine learning workloads on any cloud through a unified interface.
Contributions:102 pushes, 21 branches in 11 months
pythonworkloadsmachine-learningunified-interfacemodel-management
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