LYNN / ENGINEERING & NOTES

Systems, in detail.
Life, in between.

I'm Lynn, an AI infrastructure engineer.
I write about how systems work, where they break,
and what it takes to make them better.

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Writing

A WORK IN PROGRESS

TECHNICAL / PyTorch internals

Inside torch.compile: From Python to Kernels

The compiler architecture first: graph capture, optimization, and runtime reuse. Then follow a small tensor function through the stack.

MAIN THREAD

Under the hood.

LLM training and inference, reinforcement learning infrastructure, GPU performance, and the engineering decisions behind reliable AI systems.

Technical writing