girijesh-ai/ai-interview-codex
Comprehensive ML/AI interview preparation codebase with implementations of ML algorithms, LLM systems, RAG architectures, and agentic AI examples.
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This repository serves as an interview preparation guide for ML/AI engineering roles, containing battle-tested study materials across multiple domains. It includes implementations of ML algorithms from scratch (neural networks, traditional ML), LLM/GenAI fundamentals and production guides, production RAG system designs, agentic AI architecture examples, and system design scenarios for distributed ML. The content spans coding interview prep, system design master guides, and MLOps best practices.
Frequently asked
- What is girijesh-ai/ai-interview-codex?
- Comprehensive ML/AI interview preparation codebase with implementations of ML algorithms, LLM systems, RAG architectures, and agentic AI examples.
- Is ai-interview-codex open source?
- Yes — girijesh-ai/ai-interview-codex is an open-source project tracked on heatdrop.
- What language is ai-interview-codex written in?
- girijesh-ai/ai-interview-codex is primarily written in Python.
- How popular is ai-interview-codex?
- girijesh-ai/ai-interview-codex has 446 stars on GitHub.
- Where can I find ai-interview-codex?
- girijesh-ai/ai-interview-codex is on GitHub at https://github.com/girijesh-ai/ai-interview-codex.