Learn from questions, not curricula. This repository tracks the engineering questions that expose gaps in my metal models. I'll raise each question as an issue in this repo, and treat it as a learning loop:

identify the fundamentals -> study the relevant lectures/papers/source code -> design experiments -> build a technical explanation -> bring the insight back to real systems

The long-term goal is to develop end-to-end AI Systems expertise, especially in communication, networking, computer architecture, and performance.