DARPA-ASKEM/terarium
Nov 2024 – Feb 2025
4 Months active
Languages Used
CSSJSONJavaJavaScriptSCSSTypeScriptVueDockerfile
Technical Skills
AI IntegrationAPI IntegrationBackend DevelopmentCSSComponent DesignComponent Development
Shawn Yama
PROFILE
Shawn Yama
Syama contributed to the DARPA-ASKEM/terarium repository, delivering end-to-end enhancements for data-driven modeling and analysis workflows. Over four months, Syama built and refined features such as dataset comparison frameworks, matrix data filtering, and robust WIS/ATE evaluation utilities, focusing on improving data integrity and accelerating analysis. Using TypeScript, Vue.js, and JavaScript, Syama implemented interactive UI components, optimized data flow, and strengthened backend integration for reliable model simulations and visualizations. The work addressed UI stability, reduced runtime errors, and introduced maintainable utilities, demonstrating depth in both frontend and backend engineering while enabling faster, more accurate decision-making for development and forecasting teams.
Overall Statistics
Feature vs Bugs
69%Features
Repository Contributions
52Total
Bugs
5
Commits
52
Features
11
Lines of code
6,448
Activity Months4
Your Network
19 peopleSame Organization
@uncharted.software8
Work History
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025: Focused on strengthening dataset transformation, evaluation, and UI stability in DARPA-ASKEM/terarium. Delivered robust WIS/ATE prompts in the dataset transformer, enhanced WIS evaluation with percentage-based metrics and consistency checks, and fixed a prop name mismatch in tera-node-preview.vue to reduce UI warnings. These changes improve data processing reliability, enable faster, more accurate model evaluation, and establish maintainable utilities and groundwork for future enhancements.
3 Commits • 1 Features
Feb 1, 2025February 2025: Focused on strengthening dataset transformation, evaluation, and UI stability in DARPA-ASKEM/terarium. Delivered robust WIS/ATE prompts in the dataset transformer, enhanced WIS evaluation with percentage-based metrics and consistency checks, and fixed a prop name mismatch in tera-node-preview.vue to reduce UI warnings. These changes improve data processing reliability, enable faster, more accurate model evaluation, and establish maintainable utilities and groundwork for future enhancements.
February 2025
January 2025
20 Commits • 3 Features
Jan 1, 2025January 2025 highlights substantial improvements to terarium’s dataset comparison, ranking, matrix data handling, and UI/UX. The changes enhance forecast evaluation, decision support, and developer productivity by delivering richer visuals, more robust ranking logic, and streamlined data workflows across three core areas.
January 2025
20 Commits • 3 Features
Jan 1, 2025January 2025 highlights substantial improvements to terarium’s dataset comparison, ranking, matrix data handling, and UI/UX. The changes enhance forecast evaluation, decision support, and developer productivity by delivering richer visuals, more robust ranking logic, and streamlined data workflows across three core areas.
December 2024
14 Commits • 4 Features
Dec 1, 2024December 2024 (2024-12) focused on hardening UI stability, expanding data exploration capabilities, and improving build reliability to deliver measurable business value. Key features shipped include an in-place Dataset Descriptions Rich Text Editor with base64 storage, and a comprehensive Dataset and Workflow Comparison Framework with a new CompareDatasets operation, enhanced plotting, and configurable timepoints/baselines that improve data-driven decision making. Significant UI and data-model robustness work was completed to guard against undefined basePart and fix observables binding, reducing runtime errors. We also introduced a guard to block running empty notebooks, added a Model Time Unit Configuration prompt for precise simulations, and continued UX improvements around dataset/assets in search results. These efforts collectively enhance data integrity, reduce wasted compute, accelerate analysis workflows, and improve developer experience across the terarium stack.
14 Commits • 4 Features
Dec 1, 2024December 2024 (2024-12) focused on hardening UI stability, expanding data exploration capabilities, and improving build reliability to deliver measurable business value. Key features shipped include an in-place Dataset Descriptions Rich Text Editor with base64 storage, and a comprehensive Dataset and Workflow Comparison Framework with a new CompareDatasets operation, enhanced plotting, and configurable timepoints/baselines that improve data-driven decision making. Significant UI and data-model robustness work was completed to guard against undefined basePart and fix observables binding, reducing runtime errors. We also introduced a guard to block running empty notebooks, added a Model Time Unit Configuration prompt for precise simulations, and continued UX improvements around dataset/assets in search results. These efforts collectively enhance data integrity, reduce wasted compute, accelerate analysis workflows, and improve developer experience across the terarium stack.
December 2024
November 2024
15 Commits • 3 Features
Nov 1, 2024November 2024 (DARPA-ASKEM/terarium): Delivered cross-cutting UX, rendering, and data-flow improvements across Funman, model diagrams, and project/asset management. Key work included a robust Funman debugging interface, notebook-based editing/execution of Funman queries, and presets for common configurations; significant model rendering/data-flow optimizations (debounced renders, MMT prop wiring, equation cleaning, AI-edit indicators, and clearer config messaging); and UX enhancements for project/assets with dynamic Add to Project, a KNN-based search UI, and a streamlined project table. Major bug fixes addressed reliability in Funman output, eliminated watcher loops, stabilized data tables, and prevented duplication of column info during transfers. These efforts reduced debugging time, improved data integrity, and accelerated multi-project collaboration, highlighting strong React/TypeScript proficiency, performance optimization, and robust data handling.
November 2024
15 Commits • 3 Features
Nov 1, 2024November 2024 (DARPA-ASKEM/terarium): Delivered cross-cutting UX, rendering, and data-flow improvements across Funman, model diagrams, and project/asset management. Key work included a robust Funman debugging interface, notebook-based editing/execution of Funman queries, and presets for common configurations; significant model rendering/data-flow optimizations (debounced renders, MMT prop wiring, equation cleaning, AI-edit indicators, and clearer config messaging); and UX enhancements for project/assets with dynamic Add to Project, a KNN-based search UI, and a streamlined project table. Major bug fixes addressed reliability in Funman output, eliminated watcher loops, stabilized data tables, and prevented duplication of column info during transfers. These efforts reduced debugging time, improved data integrity, and accelerated multi-project collaboration, highlighting strong React/TypeScript proficiency, performance optimization, and robust data handling.
Activity
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Quality Metrics
Correctness87.4%
Maintainability84.4%
Architecture81.6%
Performance80.2%
AI Usage23.4%
Skills & Technologies
Programming Languages
CSSDockerfileHTMLJSONJavaJavaScriptMarkdownSCSSShellTypeScript
Technical Skills
AI IntegrationAPI DevelopmentAPI IntegrationBackend DevelopmentCI/CDCSSChart ConfigurationChart.jsComponent DesignComponent DevelopmentData AnalysisData Flow OptimizationData HandlingData ModelingData Visualization
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