KASHIN OU / CREATIVE DEVELOPER

Made to play.Built to connect.

王家進 — KASHIN OU

From game systems to the smallest response on screen. I build playful experiences through code, mathematics, and curiosity.

YOUR GUIDE / NEKOA little curiosity starts here.

作品SELECTED WORKS

View GitHub

MORE EXPLORATIONS

And a few more experiments.

Games, the web, and research. Ideas explored through making.

ANOTHER WAY TO EXPLORE

A small detour.
A different view.

There is a place inside this portfolio you can walk into. Become a little black cat, visit an island above the clouds, and discover games and experiments along the way.

Enter the island
3D / INTERACTIVEKEYBOARD & TOUCH

技術SKILLS

0yr
Years building
0
Projects
0
Games shipped
0
Technologies
01

Languages

Proficiency0%
  • TypeScript / JavaScript
  • Python
  • GDScript
02

Frontend

Proficiency0%
  • React / Next.js
  • Three.js / WebGL
  • MediaPipe Hands
03

Game Dev

Proficiency0%
  • Godot 4
  • HTML5 / PWA
04

AI & Research

Proficiency0%
  • Gymnasium / PPO
  • Stable-Baselines3
  • LLM Evaluation

INTERACTION LAB / 01

A small lab you can touch

A place to test the site's reactions in small, light, and meaningful forms.

01

Ink Field

The ink quietly responds to the pointer.

03

Motion Preference

Effects adapt to the motion preference of the device.

MOTION ON

経歴ABOUT

  1. 2022

    Entered Nihon University, Mathematical Information Engineering

    Started building web and game projects alongside coursework.

  2. 2024

    Lab placement · Seminar leader

    Supports lab members on the technical side of their projects.

  3. 2026

    Graduation research & personal projects

    Expected to graduate in 2027.

Strengths

My strength is taking on unfamiliar problems, learning what I need on my own, and iterating until something real works. When I hit an unknown technology, I break the problem down, research it, get a minimal version running, and then improve it. In my seminar I also help members untangle problems in their own code.

Research

Evaluating how AI agents and humans differ in decision-making under extreme conditions

Built a 3-vs-1 RPG battle environment and compared the decisions of humans, LLMs, and reinforcement learning, quantifying their distinct behaviors: RL optimizes survival, LLMs hallucinate rules, and humans take intuitive risks.

Computational Electromagnetics Lab, Nihon University

Languages

  • ChineseNative
  • JapaneseJLPT N1

連絡

For work or internship inquiries, feel free to reach out.