Vishal Murugan
Software Development Engineer II at Amazon
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolVishal Murugan is a Software Development Engineer II with nearly a decade of experience building scalable infrastructure and application systems across social media and e-commerce at companies like Amazon and TripAdvisor. He has deep expertise in data and model governance, inventory and warehouse data models, performance optimization, and delivering secure, auditable systems that enable cross-team collaboration. At Amazon he moved from improving Fulfillment warehouse inventory workflows to owning AGI infrastructure for model sharing and metadata lineage, bridging research, evaluation, and infra teams. He contributes to open academic tooling as a full‑stack developer on the NSF‑backed Expertiza peer‑review platform, showing a penchant for user-focused education software alongside production systems. Based in Redmond, he pairs an MS in Computer Science with a track record of turning complex domain requirements into robust, operational solutions.
9 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at North Carolina State UniversityBachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Amrita School Of Engineering
Github Skills (10)
rspec10
ruby-rails10
peer10
rails10
peer-to-peer10
ruby10
ed255199
calibration9
javascript9
st9
Programming languages (2)
Github contributions (5)
expertiza/expertiza
Oct 2016 - Nov 2016
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:
Full-stack Developer
Full-stack DeveloperContributions:27 commits, 5 PRs, 2 comments in 13 days
Contributions summary:Vishal primarily focused on updating and maintaining the Expertiza web application, a platform for peer-review and assessment in educational settings. They made changes to both the front-end (calibration) and back-end (review rubric) aspects of the application. Their work included implementing new features and fixing bugs related to assignment creation, topic management, and user interface components. They also addressed issues in the review strategy and participant sections, ensuring the application's functionality and user experience.
nationalpeer-reviewexpertiza-wikidjangoexpertiza
dbzvishal/OODA_Project1
Sep 2016 - Oct 2016
Contributions:66 pushes, 2 branches in 20 days
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