Building AI products that run where people are.
I build software that puts AI to work for museum visitors and students.
About
About
“I teach with the software I build.”
Hi, I'm Juwon Lee, an education R&D developer who plans education programs and builds AI into working products. On most of my projects I've owned the work from planning through deployment.
My core is web and application development: Next.js and React on the front, with Supabase, Firebase and serverless functions behind them. I wire AI in as a working feature, for example an in-browser MobileNet v2 module that students train themselves. The OpenAI image backend I built for the Art Lab generated 14,328 images on the Seoul Robot & AI Museum's exhibition floor from June to August 2026.
Projects
More projects
Exhibits, visitor apps and staff tools built for the Seoul Robot & AI Museum.
Tech Stack
AI & Computer Vision
I build the data pipelines and in-browser training that vision models need, and wire AI APIs into shipped products.
Data & Datasets
I build and check the datasets models learn from.
Frontend & App
I build the web and mobile screens people use.
Backend, Infra & Ops
I run the data, storage, and deploys behind them.
Hardware · IoT · Robotics
I connect sensors and machines to the web.
Planning & Education
I plan education programs and guide exhibitions in Korean and English.
Work Experience
- Build and run the interactive AI education web apps visitors use on the exhibition floor. The Art Lab ran there from June to August 2026 and generated 14,328 images, 9,865 of them in July.
- Plan and teach education programs, including the smart-farm class the Yangpyeong Education Office commissioned through the museum. Taught it as a demo class to 5 high-school students in August 2026; the 15-student class is scheduled for October 2026.
- Build internal ops tools, including the staff app that about 20 docents and part-time staff use daily.
- Guide exhibitions in Korean and English, and support the multipurpose education rooms.
- Run the Picabot robot-arm drawing studio, a regular 30-minute hands-on AI session for visiting school groups. Led its extended 50-minute class at the KT × Seoul City AI Future Camp in August 2026 (100 elementary students attended; co-hosted by KT, the Seoul Metropolitan Government and Seoul Dobong Police Station).
- Supported improvements to the national Pay-TV service quality evaluation, including its user-satisfaction survey, and drafted Broadcasting Act review materials.
- Wrote result reports and trend briefs after attending exhibitions, conferences and seminars.
Activities
Awards
2025 GH Youth Build-Up Start-up Competition (GH Corp.)
PM & Developer
YAKMOA, a medication-management service for digitally vulnerable users.
2025 Science Museum & Community AI Hackathon (National Science Museum)
PM & Developer
An AI docent concept that connects the museum's exhibitions with the local community.
2024 Chungnam Generative AI Technology Start-up Idea Competition
PM & Developer
The 2024 VGG16 version of Doctor-Green (a plant-disease diagnosis app), pitched as a generative-AI start-up idea. Hosted by the Ministry of Science and ICT, the National IT Industry Promotion Agency (NIPA) and Chungnam Techno Park; organized by Sun Moon University.
HKNU HK StartUP&GO Audition
PM & Developer
Pitched the plant-disease diagnosis app that later grew into Doctor-Green, at Hankyong National University's start-up audition.
ICT·SW Women's Start-up Competition
PM & Developer
A plant-disease diagnosis app powered by a VGG16 image classifier, the predecessor of Doctor-Green (Korea IT Businesswomen's Association).