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Problem: A consortium of researchers won a NIH HEAL award to develop novel approaches to treating pain — but had no data management plan. The NIH Data Sharing Mandate required all research outputs to be FAIR: Findable, Accessible, Interoperable, and Reusable. Without a structured approach, data produced across multiple institutions risked being siloed, irreproducible, and non-compliant.
Action: I audited data modalities across all consortium institutions and evaluated FAIR-compliant repositories to match each data type to the right archive. Working directly with NIH data stewards, I established metadata standards for the HEAL Initiative platform. I beta-tested and evaluated tools to capture relationships between data and conclusions. I then worked with scientists across the consortium to document and deposit their data.
Result: Research data across the consortium became searchable and integrated with the NIH HEAL platform. I built a Confluence hub to support internal collaboration and coordinate data staging across institutions — giving teams a shared workspace to align before deposit. Data was deposited in FAIR-compliant repositories, satisfying NIH sharing requirements and ensuring outputs remained findable, accessible, and reusable beyond the life of the grant.
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Looks impressive.
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.
Project Title: Krishi AI
Description: Briefly explain how Krishi AI helps farmers using AI for crop disease detection, weather forecasting, market insights, and recommendations.
Project link: krishiaicom.netlify.app
Krishi AI is an AI-powered smart farming platform designed to help farmers make better decisions. The platform provides crop disease detection, weather intelligence, market price insights, fertilizer recommendations, and an AI farming assistant. The goal is to improve productivity, reduce losses, and make modern agricultural technology accessible to every farmer through a simple and beautiful user experience.
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