Experience
- Stanford UniversityClass of 2030 · from Sep 2026
- TUPA Lab, KAISTResearch Intern, Transport and Urban Planning with AI · Prof. Inhi Kim · Summer 2025. Built the ambulance–ER matching system and an MCP-based research tool; presented findings at the lab forum.
- TUPA Lab, KAISTIntern, Transport and Urban Planning with AI · Prof. Inhi Kim · Jul – Sep 2026
- DochakProduct developer, Prism · KAIST-spinoff digital-twin mobility startup · 2026
- Taejon Christian International SchoolRegeneron ISEF 2025 finalist · TCIS cheer
- 01Minister’s Award (1st place), Korea Ministry of Land, Infrastructure and Transport Service Idea Competition, 2025
- 02Regeneron ISEF 2025 Special Award: HP Innovator Award
- 03Regeneron ISEF 2025 Special Award: Full scholarship, King Fahd University of Petroleum & Minerals
- 04Team Leader and government-selected delegate (1 of 17 nationwide), Global Youth Science Expedition, Ministry of Science and ICT, 2025
- 05Silver Award (National Information Society Agency President’s Award), Korea Code Fair, 2024
Stanford, from September 2026
First year at Stanford, Class of 2030. Math 21, Physics 61 and PWR 1 this quarter, and the ambulance network and Prism still open on my laptop.
TUPA Lab, KAIST
TUPA Lab, KAIST — Research Intern, Transport and Urban Planning with AI · Prof. Inhi Kim · Summer 2025. Built the ambulance–ER matching system and an MCP-based research tool; presented findings at the lab forum. The Ministry of Land, Infrastructure and Transport’s Minister’s Award in 2025 came from this work.
KAIST TUPA lab and Dochak
Intern at Prof. Inhi Kim’s Transport and Urban Planning with AI lab at KAIST’s Cho Chun Shik Graduate School of Mobility, where I rebuilt the lab’s website on Notion so the professor runs it himself. In parallel, product developer at Dochak, a KAIST-spinoff digital-twin mobility startup, where I built Prism: an agent that edits and runs PTV VISSIM behind a validation layer.
Taejon Christian International School
ISEF 2025 finalist with a crosswalk signal that watches its own pedestrians, HP Innovator Award third place. Cheer captain for two years, choreographing the competition routine alone. The ambulance agent network took the Ministry of Land, Infrastructure and Transport’s Minister’s Award the same year.
The moment a model meets a real system
Every project here has the same shape: an expert tool that already exists, an agent that can operate it, and a layer in between that decides what the agent may not do. A hospital agent that refuses without a free surgeon. A VISSIM edit rejected with a reason. A signal that only changes when a measured speed says so. That layer is the part I like building.
Interests beyond that: healthcare AI, education technology, and cities that are easier to move through.
The school bus
In high school I rode the school bus 78 minutes a day, so I built a route optimizer for our six bus routes. When I showed it to our bus manager and administrator, they just sighed. My software ignored the fuel budget and their workload, which were the things they actually had to deal with. So I interviewed them and rebuilt it around what they told me. It cut scheduling from eight hours to one minute, and the school deployed it. What I’m proudest of is throwing away the first version.