Almond Murimi

Improved the performance of the GeoSpatial Studio Web Application by 21% by migrating the application from carbonV10 to carbonV11 which led to improved GPU utilization on the client’s device.
Developed a Selective Component Rebuild Algorithm that led to 77% increase in the build time process of components in an inference pipeline service.
Enhanced the Inference status feedback by creating a state machine and reconciliation logic that enabled an inference to transition between states making the inferencing process more dynamic to the user.

Developed the Fine-Tuning and Dataset Factory User Interfaces for the Watsonx Geospatial Project utilizing JavaScript and Web Components enabling businesses to analyze climate data.
Engineered a diffing algorithm that led to 50% increase in optimization of the fine-tuning payload objects by utilizing DFS tree traversal.
Increased JavaScript application test coverage by 12%, improving reliability.