Hi, I am Jayden.

I make and study machine‑learning systems from first principles. My work spans differentiable programming, compiler optimization, and mathematical foundations of machine learning.

I’ve written open‑source frameworks, visualization tools, and theoretical papers exploring how algebra, geometry, and computation meet inside modern AI systems with the goal to make models more transparent, efficient, and understandable.

I’m especially interested in the intersection of ML systems engineering, compiler design, and mathematical reasoning.

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