Hi everyone and @khangich,
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
Hi everyone and @khangich,
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