Sai Vaddi is a pragmatic full-stack software engineer with 10 years of experience building high-performance web and visualization tools for autonomy and cloud systems. He has driven end-to-end projects at Motional—creating WebGL/ThreeJS labeling tools, improving rendering performance with custom GLSL shaders, and scaling teams and dashboards that benchmark vehicle performance. Comfortable across Java, Python, JS/TS, React/Node, Go, and mobile (Android/React Native), he blends front-end polish with backend and DevOps experience (AWS, SQL/MongoDB, Git). Now at Helm.ai in Redmond, he continues to specialize in large-scale data visualization and tooling for complex datasets, with a practical knack for turning research-grade data into production-ready interfaces. An MS in Computer Science and a history of growing engineering teams hint at both technical depth and collaborative leadership.
10 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at The University of Texas at Dallas
Bachelor of Technology (B.Tech.) Computer Science and Engineering, Bachelor of Technology (B.Tech.) Computer Science and Engineering at RAJIV GANDHI UNIVERSITY OF KNOWLEDGE TECHNOLOGIES, RK VALLEY
Contributions:2 releases, 90 commits, 15 PRs in 2 years 7 months
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