Featured Work

A standalone interactive web tool translating hydrodynamic drag theory into poolside-ready knowledge. Built around a single transfer goal: a swimmer who can self-diagnose and self-correct in real time. Covers Form Drag, Boundary Layer Separation, Active Drag, and Wave Drag through a tabbed progressive disclosure architecture, animated body-position visualizer, and tappable splash diagnostic.

A full instructional design package built for learners new to Python, U.S. academic culture, or multilingual contexts. Applies backward design, UDL, and DEIJ-aware examples throughout — grounded in learner personas drawn from Bay Area tech workforce data. Includes 9 Canvas pages, 5 scaffolded assignments, a Jupyter Notebook, and an AI-adaptive LTI assessment.

A self-guided critical care module covering pulmonary artery catheter interpretation, waveform analysis, and hemodynamic monitoring. Developed with a clinical subject matter expert. Includes a custom AI tutor, interactive review game, and waveform slide deck — all delivered through Canvas LMS.

Multimedia safety training and data-informed coaching materials built for lifeguard staff and 130+ competitive swimmers. Spans in-service slide decks, public safety infographics, and a longitudinal performance analytics system generating individualized development reports benchmarked against national standards.

A scaffolded microlearning course helping non-technical parents use AI tools to support Common Core math at home. Built in Articulate Rise with performance-based objectives and learner autonomy principles — designed to build genuine confidence, not just surface-level awareness.