Hemil Desai
Senior Software Engineer at NVIDIA
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top SchoolHemil Desai is a Senior Software Engineer in the San Francisco Bay Area with 11 years of experience building performant systems across Python, C/C++, Java, Ruby, and JavaScript. Currently working on GenAI on GPUs at NVIDIA, he blends deep systems and ML platform expertise from roles at Snap, Roam Analytics, and Braintree. He has a strong academic foundation—BS with highest distinction in Computer Science from Purdue and ongoing graduate work at UCLA—paired with hands-on experience shipping backend, frontend, and deployment improvements in open-source projects like RedwoodJS. Hemil has a proven track record improving serverless AWS deployments, Prisma integrations, and resolving GraphQL/dev-server issues, showing comfort across full-stack and DevOps concerns. He’s particularly interested in applied AI (deep learning, reinforcement learning, computer vision) and bringing research ideas into production-grade infrastructure. Colleagues would describe him as an engineer who bridges low-level performance work with pragmatic ML systemization.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS) with Highest Distinction Computer Science, Bachelor of Science (BS) with Highest Distinction Computer Science at Purdue UniversityUniversity of California, Los Angeles
English, Gujarati, Hindi
Stackoverflow
1reputation
0reached
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0questions
Github Skills (15)
aws10
devops10
serverless-framework10
cicd10
wpgraphql9
prisma9
wordpress-graphql9
graphql9
apollo8
javascript8
react8
jamstack7
typescript-types5
typescripts5
typescript5
Programming languages (9)
Github contributions (5)
redwoodjs/redwood
Jul 2020 - Sep 2020
The App Framework for Startups
Role in this project:
Full-stack & DevOps Engineer
Full-stack & DevOps EngineerContributions:13 commits, 8 PRs, 23 comments in 1 month
Contributions summary:Hemil primarily focused on improving the deployment process and infrastructure of the RedwoodJS framework. They implemented and refined the deployment configuration for AWS serverless using the `serverless` framework, including necessary prerequisites and Prisma binary integrations. The user also addressed bugs related to GraphQL client configuration and dev server connection issues, suggesting a focus on both backend and frontend integration. Further contributions include refactoring and improving existing deployment mechanisms.
reactprismajamstackgraphqlapollo
hemildesai/RAMS
Sep 2016 - Jul 2019
Contributions:32 PRs, 55 pushes, 9 branches in 2 years 9 months
djangoorganizeweb-application
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