Manasvini Suryanarayana is a software engineer based in Seattle with four years of professional experience and a background spanning enterprise billing systems, full-stack web applications, and current development work at Amazon. She holds a MS in Computer Software Engineering from San Jose State and a BE in Computer and Information Sciences, pairing strong academic grounding with practical delivery. Her prior roles include building monitoring dashboards and root-causing complex payment-system issues at Tata Consultancy Services and developing AngularJS/Java REST applications as an Amazon SDE intern. At Amazon she continues to ship production software and also contributes to open-source projects like OpenSearch Dashboards, where she has improved UI accessibility and helped modernize terminology and documentation across the codebase. Colleagues describe her as a pragmatic engineer who blends front-end polish with backend reliability and a keen eye for small UX/security details (e.g., link hardening) that improve product quality.
4 years of coding experience
12 years of employment as a software developer
Master of Science, Computer Software Engineering, Master of Science, Computer Software Engineering at San José State University
Bachelor of Engineering, Information Science/Studies, Bachelor of Engineering, Information Science/Studies at Visvesvaraya Technological University
📊 Open source visualization dashboards for OpenSearch.
Role in this project:
Full-stack Developer
Contributions:1 release, 568 reviews, 33 commits in 7 months
Contributions summary:Manasvini primarily contributed to improving the user interface and codebase by adding `rel="noopener noreferrer"` attributes to external links and updating documentation links. They also deprecated and replaced terminology related to 'master' and 'dev cluster master' with the more inclusive term 'cluster_manager'. Furthermore, the user addressed bugs and made general improvements across multiple code files. The changes include updates to the UI settings, console, and legacy code, indicating a broad understanding of the OpenSearch Dashboards codebase.
Query your data using familiar SQL or intuitive Piped Processing Language (PPL)
Contributions:93 pushes, 13 branches in 1 year 3 months
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