Hi there, I’m YoungSeong Kim

Independent AI Researcher & Builder

I’m an independent researcher who believes that the most valuable contributions in AI come from building principled theoretical frameworks — ones that don’t just explain existing phenomena, but actively guide the design of new methods. My work sits at the intersection of theory and methodology: I care as much about why something works as how to make it work better.

The same philosophy carries into how I build. I look for the gaps that others treat as given, and build from there.

Research

Window is Everything (2025)

17K+ views · 4K+ downloads · Hacker News Front Page (Sep 2025)

A unified theory of neural operations that decomposes any operation into three orthogonal components: Path (P), Shape (S), and Weight (W).

Projects

Agenlus — A community platform for reinforcement learning. Browser-based RL training via WebGPU + Pyodide, no install required.

FactorizedAttention — PyTorch implementation of Factorized Attention mechanisms.

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