SH0D0WN / TOKYO / 2026
I study Computer Science and explainable AI, turning medical imaging AI, GPU environments, and web development into experiences people can understand.
MY JOURNEY →Research, development, and experiments—recorded with the role and methods behind them.
MEDICAL IMAGING / XAI
A research implementation that visualizes model evidence and compares explanation behavior for medical image classification.
Model training, XAI implementation, evaluation design
PRODUCT DEVELOPMENT / AI
Contributed to the development and improvement of a B2B AI chatbot through a long-term internship.
Specification work, feature development, operational improvement
INFRASTRUCTURE / GPU
Building GPU runtimes for AI experiments and applications while observing practical bottlenecks.
Environment setup, container operations, performance observation
DEVELOPER TOOLS / AGENT SKILLS
An AI agent skill for making code easier to understand, with syntax metrics across six languages and before-and-after comparisons to support behavior-preserving changes.
Skill design, check scripts, documentation
I visualize where medical image classification models find evidence and evaluate explanation regions, generation time, and stability.
Changing environments, learning, and making—an evolving record of Sho's path forward.
VIEW FULL JOURNEYPYTORCH
Model training
MONAI
Medical imaging
DOCKER
GPU environment
NEXT.JS
Frontend
LINUX
Development
GSAP
Motion systems
For research, AI, GPU, and web work. I welcome conversations that connect technology and experience.