Project Title: TimeMap — Historical World Explorer

Short description: TimeMap is an interactive historical world map explorer that lets you travel through time and space simultaneously. Select multiple cities and archaeological sites from different parts of the world and see what was happening at the exact same moment in history.

What I built: An interactive web app where you can:

Search historical cities and archaeological sites

Compare up to 4 locations simultaneously across 5,000 years of history

Navigate through 7 historical eras via an interactive timeline

Filter by world region

Listen to era-appropriate ambient music

Explore a vintage cartographic map with wave ocean texture

How I used Google Stitch: I started from a personal infographic I designed in Adobe Illustrator and Photoshop about the Korean Peninsula. I extracted the visual DNA — warm cream palette, coral accents, serif typography — and brought it into Google Stitch to prototype the interface. Through multiple iterations in Stitch I designed the map layout, the side panel, the leader portrait, the timeline and the editorial aesthetic. Stitch was the bridge between my design vision and the final development in Claude Code.

Workflow: Adobe Illustrator + Photoshop → Google Stitch → Claude Code

Project link: https://timemap-explorer.netlify.app/

Feedback on Stitch: Stitch is genuinely powerful for rapid UI prototyping. Iterating visually with prompts saved enormous time. The design consistency across iterations was impressive. Areas for improvement: handling complex SVG elements like world maps was challenging, and version history navigation could be more intuitive.

Very cool, the maps look awesome.

Multi-Site Wheat Breeding Trial Summary (BASF Canada Inc.)

This sample reflects my three-year role as Wheat Breeding Agronomist at BASF Canada, where I led breeding trial operations across 10 sites in Saskatchewan, Manitoba, and Alberta — managing over 100 acres annually. The work involved designing and executing multi-environment yield trials, maintaining comprehensive breeding databases, conducting statistical analysis using ANOVA and LSD mean separation, and supporting variety advancement decisions. It showcases my depth in experimental design, multi-location data management, and the kind of structured scientific reasoning that directly transfers to evaluating AI outputs in agricultural and biological domains.