DARPA-ASKEM/terarium
Oct 2024 – Apr 2025
7 Months active
Languages Used
MarkdownCSSJavaScriptTypeScriptVueJavaPythonYAML
Technical Skills
DocumentationAPI IntegrationChart VisualizationChart.jsCode RefactoringComposable Architecture
Jaehwan Ryu
PROFILE
Jaehwan Ryu
Jae Ryu developed advanced data visualization and document review features for the DARPA-ASKEM/terarium repository, focusing on charting, ensemble calibration, and PDF annotation workflows. He engineered interactive chart components using TypeScript and Vue.js, integrating quantile and uncertainty visualizations to support model calibration and simulation analysis. His work included refactoring chart settings and rendering logic for maintainability, implementing AI-driven annotations, and enhancing OCR table extraction with Azure and Llama models. By linking extracted data and model equations directly within an enhanced PDF viewer, Jae improved review workflows and data traceability, demonstrating depth in frontend architecture, backend integration, and user-centric design.
Overall Statistics
Feature vs Bugs
91%Features
Repository Contributions
46Total
Bugs
2
Commits
46
Features
20
Lines of code
12,167
Activity Months7
Your Network
19 peopleSame Organization
@uncharted.software8
Work History
April 2025
3 Commits • 1 Features
Apr 1, 2025Monthly work summary for 2025-04 focusing on delivering the Enhanced PDF Viewer with Annotations and Extraction Linking for the DARPA-ASKEM/terarium project. The work includes refactoring related components to leverage the new PDF viewer and introducing a usePDFViewerActions composable to manage annotations and scrolling, enabling better highlighting and focusing of extraction items and linking model equations/enrichments to their document locations. Direct select/highlight of extracted items within PDFs in the model configuration workflow was added to improve review and verification in context.
3 Commits • 1 Features
Apr 1, 2025Monthly work summary for 2025-04 focusing on delivering the Enhanced PDF Viewer with Annotations and Extraction Linking for the DARPA-ASKEM/terarium project. The work includes refactoring related components to leverage the new PDF viewer and introducing a usePDFViewerActions composable to manage annotations and scrolling, enabling better highlighting and focusing of extraction items and linking model equations/enrichments to their document locations. Direct select/highlight of extracted items within PDFs in the model configuration workflow was added to improve review and verification in context.
April 2025
March 2025
9 Commits • 5 Features
Mar 1, 2025March 2025 was focused on enhancing visualization, document review, and OCR capabilities in DARPA-ASKEM/terarium, delivering user-centric features that improve data interpretation, collaboration, and model-agnostic extraction workflows. The work emphasizes business value by enabling clearer dashboards, more accurate temporal comparisons, and streamlined review processes across datasets and documents.
March 2025
9 Commits • 5 Features
Mar 1, 2025March 2025 was focused on enhancing visualization, document review, and OCR capabilities in DARPA-ASKEM/terarium, delivering user-centric features that improve data interpretation, collaboration, and model-agnostic extraction workflows. The work emphasizes business value by enabling clearer dashboards, more accurate temporal comparisons, and streamlined review processes across datasets and documents.
February 2025
9 Commits • 3 Features
Feb 1, 2025February 2025: Delivered major charting enhancements and robustness for terarium, with a focus on quantile charts, tooltips, AI-assisted insights, and maintainable rendering. Improvements enhance accuracy, interpretability, and developer productivity across analytics dashboards, delivering clear business value with fewer render issues and faster insight delivery.
9 Commits • 3 Features
Feb 1, 2025February 2025: Delivered major charting enhancements and robustness for terarium, with a focus on quantile charts, tooltips, AI-assisted insights, and maintainable rendering. Improvements enhance accuracy, interpretability, and developer productivity across analytics dashboards, delivering clear business value with fewer render issues and faster insight delivery.
February 2025
January 2025
13 Commits • 6 Features
Jan 1, 2025January 2025 monthly summary for DARPA-ASKEM/terarium focusing on delivering advanced visualization capabilities, uncertainty quantification, and data handling improvements across the charting and simulation tooling. The work enhances decision-support through richer uncertainty visualization, per-model ensemble insights, and faster data access, driving more reliable model evaluation and faster iteration cycles.
January 2025
13 Commits • 6 Features
Jan 1, 2025January 2025 monthly summary for DARPA-ASKEM/terarium focusing on delivering advanced visualization capabilities, uncertainty quantification, and data handling improvements across the charting and simulation tooling. The work enhances decision-support through richer uncertainty visualization, per-model ensemble insights, and faster data access, driving more reliable model evaluation and faster iteration cycles.
December 2024
5 Commits • 2 Features
Dec 1, 2024December 2024 Monthly Summary for DARPA-ASKEM/terarium Key features delivered: - Calibration charts and diagnostics: Introduced charts for ensemble weights and loss during calibration, UI toggles to show/hide these charts, and error charting with accordions for ensemble calibration. Improved chart rendering and state management for calibration operations. Commits: d7a61f55aa619b4eacafd6f2e2883a103329ed57; dd10f9749fa15a6725d0c0bb5c4750161c2d5ba4. - Chart settings and uncertainty visualization: Refactored the active chart settings panel and the useChartSettings composable to simplify UX. Added quantile/uncertainty interval configuration UI and backend prep for quantile calculations. Commits: 52053539584ba0a1638d70bdd6308a891854ae3e; cf61585f3a29c4226284605d57635e6f59206f66. Major bugs fixed: - Baseline results display fix: Resolved baseline display issue in the simulate node by using the 'pre' identifier for the base run results and ensuring correct merging of baseline data with other outputs. Commit: 386420a1f0d9739b6b585553cd8cbaf183c0cc88. Overall impact and accomplishments: - Improved calibration transparency and reliability: Users can now visualize ensemble weights, losses, and calibration errors more clearly, enabling faster diagnosis and tuning of calibration workflows. - More reliable baseline outputs and data merging: Baseline results are now consistently represented, reducing misleading results and increasing confidence in comparative analyses. - Enhanced chart UX and quantitative analysis capabilities: The chart settings rework and uncertainty/quantile support lay the groundwork for advanced uncertainty visualization and more informed decision-making. Technologies/skills demonstrated: - Frontend UI/UX refactor (composition API patterns, useChartSettings composable) and state management improvements for dashboards. - Data visualization: development of new charts and accordion-based error visualization with performance-conscious rendering. - Data preparation for quantile calculations and uncertainty visualization, along with backend-data prep for robust quantile configurations. - End-to-end traceability via commit references that document feature delivery and fixes. Business value: - More actionable calibration insights, reduced troubleshooting time, and higher confidence in simulation results, enabling faster iteration cycles and better decision support for complex model calibration tasks.
5 Commits • 2 Features
Dec 1, 2024December 2024 Monthly Summary for DARPA-ASKEM/terarium Key features delivered: - Calibration charts and diagnostics: Introduced charts for ensemble weights and loss during calibration, UI toggles to show/hide these charts, and error charting with accordions for ensemble calibration. Improved chart rendering and state management for calibration operations. Commits: d7a61f55aa619b4eacafd6f2e2883a103329ed57; dd10f9749fa15a6725d0c0bb5c4750161c2d5ba4. - Chart settings and uncertainty visualization: Refactored the active chart settings panel and the useChartSettings composable to simplify UX. Added quantile/uncertainty interval configuration UI and backend prep for quantile calculations. Commits: 52053539584ba0a1638d70bdd6308a891854ae3e; cf61585f3a29c4226284605d57635e6f59206f66. Major bugs fixed: - Baseline results display fix: Resolved baseline display issue in the simulate node by using the 'pre' identifier for the base run results and ensuring correct merging of baseline data with other outputs. Commit: 386420a1f0d9739b6b585553cd8cbaf183c0cc88. Overall impact and accomplishments: - Improved calibration transparency and reliability: Users can now visualize ensemble weights, losses, and calibration errors more clearly, enabling faster diagnosis and tuning of calibration workflows. - More reliable baseline outputs and data merging: Baseline results are now consistently represented, reducing misleading results and increasing confidence in comparative analyses. - Enhanced chart UX and quantitative analysis capabilities: The chart settings rework and uncertainty/quantile support lay the groundwork for advanced uncertainty visualization and more informed decision-making. Technologies/skills demonstrated: - Frontend UI/UX refactor (composition API patterns, useChartSettings composable) and state management improvements for dashboards. - Data visualization: development of new charts and accordion-based error visualization with performance-conscious rendering. - Data preparation for quantile calculations and uncertainty visualization, along with backend-data prep for robust quantile configurations. - End-to-end traceability via commit references that document feature delivery and fixes. Business value: - More actionable calibration insights, reduced troubleshooting time, and higher confidence in simulation results, enabling faster iteration cycles and better decision support for complex model calibration tasks.
December 2024
November 2024
6 Commits • 2 Features
Nov 1, 2024Monthly performance summary for 2024-11 focusing on the terarium project, highlighting business-value delivering visualization enhancements, AI-driven annotation, ensemble analysis capabilities, and rendering/UI optimizations. Demonstrates end-to-end improvements from data fetch and chart configuration to user-facing visuals across Calibration, Optimization, and Simulation workflows.
November 2024
6 Commits • 2 Features
Nov 1, 2024Monthly performance summary for 2024-11 focusing on the terarium project, highlighting business-value delivering visualization enhancements, AI-driven annotation, ensemble analysis capabilities, and rendering/UI optimizations. Demonstrates end-to-end improvements from data fetch and chart configuration to user-facing visuals across Calibration, Optimization, and Simulation workflows.
October 2024
1 Commits • 1 Features
Oct 1, 2024In 2024-10, focused on documentation quality improvements for dataset transformations in the DARPA-ASKEM/terarium project. Delivered a targeted enhancement clarifying the dataset transformation filter by explicitly specifying county = 'Los Angeles' for LA county, improving clarity and usability of the docs. The change is tracked in a dedicated transform-dataset.md update and linked to commit aa03014d831d3c5684dcda68ea8f327fee8eefcf. No code changes were introduced this month.
1 Commits • 1 Features
Oct 1, 2024In 2024-10, focused on documentation quality improvements for dataset transformations in the DARPA-ASKEM/terarium project. Delivered a targeted enhancement clarifying the dataset transformation filter by explicitly specifying county = 'Los Angeles' for LA county, improving clarity and usability of the docs. The change is tracked in a dedicated transform-dataset.md update and linked to commit aa03014d831d3c5684dcda68ea8f327fee8eefcf. No code changes were introduced this month.
October 2024
Activity
Loading activity data...
Quality Metrics
Correctness88.2%
Maintainability85.2%
Architecture83.2%
Performance78.0%
AI Usage26.2%
Skills & Technologies
Programming Languages
CSSHTMLJavaJavaScriptMarkdownPythonTypeScriptVueYAML
Technical Skills
AI IntegrationAPI DevelopmentAPI IntegrationAnnotationBackend DevelopmentChart ConfigurationChart DevelopmentChart Rendering OptimizationChart VisualizationChart.jsCloud Services (Azure, AWS)Code OrganizationCode RefactoringComponent DesignComponent Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline