Omkar Mehta

Senior Software Engineer at NVIDIA

Sunnyvale, California, United States
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Summary

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Omkar Mehta is a Senior Software Engineer at NVIDIA in Sunnyvale, California, where he leverages 9 years of experience to transform data into measurable business value through scalable data engineering, analytics, and ML pipelines. He specializes in building end-to-end data platforms spanning ingestion, processing, and analytics on AWS, Azure, and GCP, with hands-on work in PySpark, Databricks, SQL, Python, and modern ML tooling. He has a proven track record of delivering real-world impact, including a production AWS deployment at Bharat Petroleum that saved about $1 million in annual expenses per outage and reduced engineering effort. During an NVIDIA internship, he built a GPU Data Platform UI/UX portal with OAuth authentication and orchestrated a Kubeflow pipeline to deploy GPU-Spark apps on Databricks on AWS, showcasing end-to-end product sense. He combines a strong academic foundation—MS in Industrial Engineering with Advanced Analytics from UIUC and a BE in Chemical Engineering from ICT—with teaching and research experience at UIUC and IISc, demonstrating both depth and curiosity across theory and practice. He embraces agile collaboration and a Rubber Duck Debugging mindset to rapidly diagnose problems and deliver reliable, high-quality software.
code9 years of coding experience
job7 years of employment as a software developer
bookBachelor’s degree, Chemical Engineering, 8.72/10, Bachelor’s degree, Chemical Engineering, 8.72/10 at Institute Of Chemical Technology
bookMS in Industrial Engineering, Advanced Analytics, MS in Industrial Engineering, Advanced Analytics at University of Illinois Urbana-Champaign
bookHigh School, Higher Secondary Examination, 90.33%, High School, Higher Secondary Examination, 90.33% at Shikshan Prasarak Mandalis Sir Parshurambhau College Arts, Science & Commerce Tilak Road Pune 30
languagesEnglish, Marathi, Hindi
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Github Skills (43)

oauth28
oauth8
authentication8
jwt8
nodejs7
react7
auth7
stateless6
nuxt6
nextjs6
sveltekit5
javascript5
vscode4
csrf4
solidjs4

Programming languages (4)

TypeScriptDockerfileJupyter NotebookPython

Github contributions (5)

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Main purpose of this project is to understand different methods of classifying textual data. I've used "20 newsgroup" dataset. It is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across 20 different newsgroups, each corresponding to a different topic.
Contributions:12 PRs, 21 pushes, 6 branches in 2 years
newsgroupswikimediacorpus-linguisticscorpusdataset
OmkarMehta/SSFwithNODE

Jul 2021 - Nov 2021

Contributions:197 commits, 8 pushes in 3 months
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