ai-interview-codex offers a practical AI interview prep guide featuring iterative system design for Agentic AI and RAG, with benchmarks and production insights for ML, LLM, and system design roles.
A massive Jupyter Notebook repo aggregating FAANG interview resources with multi-language DSA solutions and system design content. Centralizes scattered prep materials into one structured index.
A curated Jupyter notebook guide for machine learning interview prep at FAANG companies, covering coding, system design, and agentic AI systems added in 2025.
