
Worked on the exelearning/exelearning repository, delivering features that enhanced content authoring and reliability. Built MathJax rendering for both preview and print modes, ensuring accurate mathematical display by refining the rendering workflow in JavaScript and TypeScript. Developed a TinyMCE plugin to enable dynamic Mermaid diagram rendering, optimizing asset loading and improving editor capabilities. Added controls for diagram sizing, integrating validation and utility functions for consistent layout. Addressed legacy content issues by preserving indentation in XML parsing of .elp files, improving import fidelity. Demonstrated strengths in front end development, unit testing, and plugin integration, with a focus on maintainability and user experience.
June 2026: Delivered Mermaid diagram sizing controls in TinyMCE for exelearning. Implemented maximum width/height with validation, added utility functions for dimension handling, and integrated the feature into the Mermaid plugin to ensure consistent diagram rendering and improved content stability. This work reduces layout issues for diagram-heavy content and strengthens editor capabilities.
June 2026: Delivered Mermaid diagram sizing controls in TinyMCE for exelearning. Implemented maximum width/height with validation, added utility functions for dimension handling, and integrated the feature into the Mermaid plugin to ensure consistent diagram rendering and improved content stability. This work reduces layout issues for diagram-heavy content and strengthens editor capabilities.
April 2026 (2026-04) monthly summary for exelearning/exelearning. No new features delivered this month. Major bug fix: preserved indentation inside <pre> tags when parsing legacy .elp files, improving formatting fidelity and import reliability. Impact: reduces user-visible formatting issues for legacy content, improves data integrity during imports, and lowers support overhead. Technologies/skills demonstrated: Python/XML parsing, whitespace/indentation handling, and emphasis on maintainability, regression testing, and code review.
April 2026 (2026-04) monthly summary for exelearning/exelearning. No new features delivered this month. Major bug fix: preserved indentation inside <pre> tags when parsing legacy .elp files, improving formatting fidelity and import reliability. Impact: reduces user-visible formatting issues for legacy content, improves data integrity during imports, and lowers support overhead. Technologies/skills demonstrated: Python/XML parsing, whitespace/indentation handling, and emphasis on maintainability, regression testing, and code review.
November 2025 — Exelearning: Implemented Mermaid diagram rendering in the editor via a TinyMCE plugin, with dynamic Mermaid library loading to render diagrams reliably at creation time. Added on-demand library export to optimize load times and ensure availability. This work enhances authoring capabilities and documentation quality for users of exelearning/exelearning.
November 2025 — Exelearning: Implemented Mermaid diagram rendering in the editor via a TinyMCE plugin, with dynamic Mermaid library loading to render diagrams reliably at creation time. Added on-demand library export to optimize load times and ensure availability. This work enhances authoring capabilities and documentation quality for users of exelearning/exelearning.
October 2025 monthly summary for exelearning/exelearning: Implemented MathJax rendering for both preview and print modes, removing an unnecessary pre-check to ensure formulas render correctly across outputs. Resolved issue #510, via commit 2bacabb3ea05488d084b0cb2133a26ecdd8a6b67. Result: improved math content display in docs, previews, and printed materials; boosts reliability and user satisfaction.
October 2025 monthly summary for exelearning/exelearning: Implemented MathJax rendering for both preview and print modes, removing an unnecessary pre-check to ensure formulas render correctly across outputs. Resolved issue #510, via commit 2bacabb3ea05488d084b0cb2133a26ecdd8a6b67. Result: improved math content display in docs, previews, and printed materials; boosts reliability and user satisfaction.

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