Pranav Vaidya - Staff Engineer at VMware

Pranav Vaidya

Staff Engineer at VMware

Greater Seattle Area United States

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Summary

👤

Senior

🎓

Top School

Pranav Vaidya is a Staff Engineer with nine years of experience building cloud-native and systems software at VMware, blending hands-on C and backend engineering with product-focused delivery. Currently pursuing a Master’s in Computer Science at NC State, he has a strong interest in Unix systems, open source development, and improving developer/user workflows. His contributions include enhancing the NSF-supported Expertiza web app—adding AJAX-driven course management and fixing duplicate-TA bugs—showing attention to UX even in backend roles. Earlier roles ranged from performance tuning and QA at Persistent Systems to instrumenting metrics and Wavefront integration for VMware’s Lightwave, demonstrating a consistent focus on observability and performance. Based in the Greater Seattle Area, he pairs systems-level rigor with a curiosity for improving developer tooling and scalable services.

9 years of coding experience

4 years of employment as a software developer

BITS Pilani, Birla Institute of Technology and Science

Master's degree, Computer Science, 3.87, Master's degree, Computer Science, 3.87 at North Carolina State University

English

Github Skills (8)

ajax10

ruby-rails10

javascript10

rails10

learning-management-system10

ruby10

peer4

peer-to-peer4

Programming languages (2)

CRuby

Github contributions (5)

expertiza/expertiza

Mar 2017 - Apr 2017

Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.

Role in this project:

Back-end Developer

Contributions:15 commits, 4 PRs, 5 comments in 16 days

Contributions summary:Pranav primarily focused on enhancing the course management features of the Expertiza application. They implemented AJAX functionality for adding and removing teaching assistants, improving the user experience. The contributions include modifications to the course controller, view files, and associated JavaScript, with a focus on improving the dynamic updating of the TA listing. Furthermore, the user fixed a bug to prevent the addition of duplicate TAs to a course.

nationalpeer-reviewexpertiza-wikidjangoexpertiza

psvaidya/expertiza

Mar 2017 - May 2017

Contributions:53 pushes, 2 branches in 1 month

nationalpeer-reviewnational-science-foundationsciencedjango

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