AI & Systems UX Designer
I design user-facing interactions for complex systems, including AI and data-driven workflows. My work focuses on translating system behavior and data into clear, low-friction experiences, especially in time- and attention-constrained contexts. Experience includes contract work supporting Google products. The projects here are independently developed; professional work is confidential.
Analyzed a U.S. dataset of McDonald’s locations using Python and Jupyter Notebooks. Filtered for drive-through locations and 3 AM availability, and created maps and visualizations to show spatial patterns across states. Trained a Random Forest model using latitude and longitude to predict whether a location includes a drive-through.
Worked with Land Surface Temperature (LST) data for a wildfire prediction project using the Google Earth Engine Python API. Processed MODIS day and night thermal data and shapefile-defined regions to analyze spatial heat patterns. Supported the project by preparing data workflows and analysis outputs for a distributed team.
Designing structured context systems that shape AI responses at runtime
Designing multi-turn AI behavior, safety handling, and edge-case responses
Structuring content for LLM-generated answers and response accuracy
Refactoring documentation into standalone units for RAG systems
Intent, state, and recovery logic
API documentation and developer education writing sample
UX language framework for mobility & delivery platforms
Technical SEO fixes for search indexing
