girijesh-ai/ai-interview-codex
Comprehensive ML/AI interview codex with iterative system design, production-ready code, and 2026 standards. Includes LLM/GenAI, RAG systems, agentic AI, and algorithms from scratch.
This is a comprehensive guide for those preparing for Machine Learning and AI engineering job interviews. It provides materials for common interview types, including coding challenges, system design, and specialized questions on Large Language Models (LLMs) and Generative AI. The content helps aspiring ML/AI engineers transform their theoretical knowledge into structured, production-ready answers for technical assessments.
Use this if you are an aspiring Machine Learning or AI Engineer preparing for technical interviews and need a structured, comprehensive resource covering coding, system design, and modern AI concepts like LLMs and RAG.
Not ideal if you are looking for an introduction to machine learning or AI concepts, or if you are not planning to interview for an ML/AI engineering role.
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Python
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Last pushed
Jan 16, 2026
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