Practical Resource for System Design and ML Interviews

Preparing for technical interviews often requires reviewing both
system design concepts and machine learning fundamentals.

To keep things organized, I compiled a structured guide that
covers topics commonly asked in interviews.

The guide includes:

• System design fundamentals (load balancing, caching, distributed systems)
• Architecture patterns used in scalable systems
• Machine learning interview concepts
• ML system design and deployment basics

The goal is to provide concise explanations and practical patterns
that engineers can review quickly before interviews.

You can find the repository here:
https://github.com/Ali-Meh619/System_Design_ML_Principles

If you have suggestions for additional topics or improvements,
I would really appreciate feedback.