This repository documents the growth path of a computer vision algorithm engineer, sharing technical notes on computer vision and model compression deployment stacks. It includes interview questions for algorithm positions and references to a self-built LLM inference framework course. The content spans algorithm fundamentals, deep learning concepts, model optimization, and deployment techniques primarily in Python with C++ components.