Vivek Bhat

Principal Software Engineer at Hughes

Germantown, Maryland, United States
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Summary

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Senior
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Top School
Vivek Bhat is a Principal Software Engineer with 11 years of experience building scalable, real-time systems and Big Data pipelines for enterprises like Intel, Microsoft, Amazon, and Hughes. A certified AWS Solutions Architect and Developer, he specializes in Apache Flink, AI/ML-driven streaming analytics, and infrastructure-minded DevOps practices that turn billions of data points into actionable insights. He combines hands-on backend engineering—evident from contributor work refactoring peer-review logic in the NSF-supported Expertiza project—with leadership in Agile delivery, rapid prototyping, and clean, maintainable code. Based in Germantown, MD, Vivek is known for taking end-to-end ownership of complex systems and for bridging infrastructure and application concerns to accelerate production-ready outcomes.
code11 years of coding experience
job9 years of employment as a software developer
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at North Carolina State University
bookBachelor of Technology - BTech, Bachelor of Technology - BTech at Jamia Millia Islamia
languagesEnglish
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Stackoverflow

Stats
43reputation
3kreached
1answer
3questions
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Github Skills (14)

reviewboard10
ruby-rails10
peer10
rails10
refactoring10
code-review10
ruby10
heroku6
javascript6
ggplot6
apscheduler6
django6
docker4
dockers4

Programming languages (5)

JavaShellCSSGoRuby

Github contributions (5)

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expertiza/expertiza

Oct 2016 - Nov 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:
userBack-end Developer
Contributions:33 commits, 8 PRs in 1 year
Contributions summary:Vivek primarily focused on refactoring and improving the functionality related to `metareview_response_maps` within the Expertiza application. They made several code changes in the `app/models/assignment.rb` and `app/models/review_response_map.rb` files, likely optimizing the process for selecting and managing meta-reviews. Furthermore, the user updated the application to use `find_by` instead of `where.first` in `ReviewResponseMap` class and removed the double iteration in `metareview_response_maps`. They also updated the setup.sh and docker files.
nationalpeer-reviewexpertiza-wikidjangoexpertiza
Contributions:507 commits, 399 pushes, 1 branch in 3 years 7 months
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