ProgrammingPatisserie andPaintings
Experience
Developed Semantic Tower, an App Playground for learning word embeddings through interactive 3D visualization, and submitted it to the Apple Swift Student Challenge 2026. The project was selected as a Winner for its educational experience design and interactive visualization.
Developed StrokeLOD, a project that represents handwritten character stroke data as Linked Open Data, and submitted it to the LOD Challenge. The project received the Student Award and the Sockets Award for its approach to structuring and utilizing handwritten character data.
Participated in the MFG Student GPU Programming Contest, a competition for creating image filters using GPU programming. Developed a Kuwahara filter incorporating physics-based simulation and won the Grand Prize.
Developed LLMView, a tool for visualizing the generation process of large language models, and submitted it to the U-22 Programming Contest, a project-based programming competition. The project received both the METI Minister’s Award in the Idea Category and the Sakura Internet Award, especially for its word-decision algorithm.
Learning broadly while focusing on programming, visualization, and UI, with a particular interest in LLMs and their applications.
I was interested in interacting with students from abroad. I danced with students from Ghana and interacted with students from Canada, China, and Korea through various events and activities.
Semantic Tower: Embeddings Visualization Game
LLMView · LLM Visualization
StrokeLOD: Linked Open Data
WaterColor Filter: Physics-based Kuwahara Filter
Algorithms, AI prototypes, and low-level systems
Interactive visualization, web UI, and desktop apps
Data, deployment, and reproducible build flow
Read the full profile and contact details.
ProgrammingPatisserie, and Paintings.
Developed Semantic Tower, an App Playground for learning word embeddings through interactive 3D visualization, and submitted it to the Apple Swift Student Challenge 2026. The project was selected as a Winner for its educational experience design and interactive visualization.
Developed StrokeLOD, a project that represents handwritten character stroke data as Linked Open Data, and submitted it to the LOD Challenge. The project received the Student Award and the Sockets Award for its approach to structuring and utilizing handwritten character data.
Participated in the MFG Student GPU Programming Contest, a competition for creating image filters using GPU programming. Developed a Kuwahara filter incorporating physics-based simulation and won the Grand Prize.
Developed LLMView, a tool for visualizing the generation process of large language models, and submitted it to the U-22 Programming Contest, a project-based programming competition. The project received both the METI Minister’s Award in the Idea Category and the Sakura Internet Award, especially for its word-decision algorithm.
Learning broadly while focusing on programming, visualization, and UI, with a particular interest in LLMs and their applications.
I was interested in interacting with students from abroad. I danced with students from Ghana and interacted with students from Canada, China, and Korea through various events and activities.
Semantic Tower: Embeddings Visualization Game
LLMView · LLM Visualization
StrokeLOD: Linked Open Data
WaterColor Filter: Physics-based Kuwahara Filter
Algorithms, AI prototypes, and low-level systems
Interactive visualization, web UI, and desktop apps
Data, deployment, and reproducible build flow
