GAME PROGRAMMING / AI & PROCEDURAL GENERATION INTERESTS

Kota Ito

University of Aizu · third-year undergraduate / Based in Japan

[email protected]kotakun.dev github.com/kotakun2724

Profile

I build games and graphics experiments in C / C++ and Unity. I am working toward a focus in game AI and procedural terrain, with an emphasis on explaining implementations and making comparisons reproducible. With internship experience at two game companies, my goal is to continue gaining experience and work at a studio in Japan or internationally.

Internship experience

Internship experience at two game companies. Company names are not disclosed.

Selected work & technical evidence

1.44 MB :: Sectors of the Lost Disk

C99 / game design & implementation

BSP rooms and corridors, rule-based enemy pursuit, and a DDA raycaster. Public size log records a 96,256-byte Windows/UPX build. Uses TIGR and CC0 DCSS tiles.

github.com/kotakun2724/1.44MB Case study: kotakun.dev/en/projects/1-44mb

Procedural Terrain / C++

C++ / solo learning project

Seeded Perlin-noise octave synthesis: continental, mountain, and detail layers; out-of-region block queries; noise-object reuse. OpenGL / SFML visualization.

github.com/kotakun2724/Terrain Case study: kotakun.dev/en/projects/terrain-opengl

MUGENDUNGEON

Unity / C# / game development

A top-down 3D roguelike featuring generated dungeons, melee combat, items, and progression. A public Steam page is available.

store.steampowered.com/app/4580570/MUGENDUNGEON/

New implementation demo

Seeded value noise + fBM terrain with A* / BFS on the same four-connected, unit-cost graph. Supports 30-seed measurements, JSON export, and source download. Separate from existing-game benchmarks or published research.

kotakun.dev/en/lab

Future direction & research interests

I am considering graduate study at the University of Aizu, aiming to investigate game-AI algorithms and terrain generation. Interests include joint evaluation of generation and navigation, agent decisions, and reproducible experiments. This describes my intended direction for future graduate study.