
Over a two-month period, contributed to the dscubed/dscubed-website repository by developing an interactive 3D word embeddings visualizer, enabling real-time exploration of word relationships using React, Three.js, and TensorFlow.js. The work included implementing client-side loading of embeddings, interactive word addition, and visual features such as a sparkling background and nearest-neighbor highlighting to enhance user experience. Further improvements focused on onboarding-driven UX enhancements, refined navigation, and integrating a central Add Word UI within the 3D canvas. Addressed a critical import-path bug to ensure reliable component loading, demonstrating attention to both feature depth and codebase stability.
May 2025 monthly summary for dscubed/dscubed-website focused on stabilizing the Visualiser and advancing embeddings-related capabilities. Delivered onboarding-driven UX improvements for the Embeddings Visualizer, refined navigation and visuals, and added a central Add Word UI within the 3D canvas. Fixed a critical import-path bug to ensure reliable component loading and consistent Visualiser behavior across the site.
May 2025 monthly summary for dscubed/dscubed-website focused on stabilizing the Visualiser and advancing embeddings-related capabilities. Delivered onboarding-driven UX improvements for the Embeddings Visualizer, refined navigation and visuals, and added a central Add Word UI within the 3D canvas. Fixed a critical import-path bug to ensure reliable component loading and consistent Visualiser behavior across the site.
April 2025 monthly summary for dscubed/dscubed-website: Delivered an interactive 3D Word Embeddings Visualizer and laid groundwork for client-side embeddings exploration using TensorFlow.js. Implemented loading embeddings, adding words for real-time visualization, and visual features such as a sparkling background and nearest-neighbor highlighting. No major bug fixes reported this month.
April 2025 monthly summary for dscubed/dscubed-website: Delivered an interactive 3D Word Embeddings Visualizer and laid groundwork for client-side embeddings exploration using TensorFlow.js. Implemented loading embeddings, adding words for real-time visualization, and visual features such as a sparkling background and nearest-neighbor highlighting. No major bug fixes reported this month.

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