Javid Azad is a software engineer based in San Francisco with 10 years of experience building high-performance visualization and front-end systems. Currently at UberHQ, he brings deep hands-on expertise in WebGL2-powered libraries and geospatial visualization, evidenced by contributions to flagship open-source projects kepler.gl and deck.gl. His work spans full-stack implementation and UI polish—shipping features like export-image tooling, text labels for point layers, and a Bezier curve layer—while also tackling tricky rendering bugs such as z-fighting and map-bounds calculations. That blend of practical feature delivery and low-level graphics problem-solving makes him effective at turning large-scale spatial datasets into usable visual insights. Colleagues rely on him for pragmatic refactors, cross-cutting fixes, and advancing open-source visualization tooling used widely across the industry.
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
Role in this project:
Front-end Developer
Contributions:6 commits, 10 PRs, 17 pushes in 5 months
Contributions summary:Javid implemented new features and enhancements to the Kepler.gl user interface. Their work includes creating an export image module with various ratio and resolution options, adding text label functionality to the point layer, and fixing issues related to screenshot generation and z-fighting. They also addressed map bounds calculations for improved data visualization.
Contributions:13 commits, 15 PRs, 15 pushes in 11 months
Contributions summary:Javid primarily contributed to the `deck.gl` visualization framework, focusing on implementing new features and fixing code style issues. Their work included adding a Bezier curve layer, demonstrating an understanding of WebGL2 and the project's data visualization focus. They also refactored and moved components, and addressed linting issues, indicating contributions across the codebase.
pythonwebgljavascriptwebgl2threejs
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