Practical Resources for System Design and ML Interview Questions (repo+website)

Hi everyone and @ashishps1,

I’ve been preparing for system design and machine learning interviews and started organizing my notes into a structured guide.

It covers topics like:

• System design fundamentals (load balancing, caching, distributed systems) • Scalable architecture patterns • Machine learning concepts often asked in interviews • ML system design and deployment basics • Practical patterns and explanations for common interview questions

The goal is to keep explanations concise and practical so engineers can quickly review key concepts before interviews.

GitHub repo: https://github.com/Ali-Meh619/System_Design_ML_Principles

Website version: https://ali-meh619.github.io/System_Design_ML_Principles/site/index.html

It is still in progress. If anyone has suggestions for topics I should add or improve, I’d really appreciate the feedback.

Thanks