Structured AI & Engineering Interview Guides
Understand crucial concepts, system architecture tradeoffs, and high-frequency technical questions curated by senior engineers from top tech labs.
Production RAG Systems & Vector Databases
Master chunking strategies, hybrid search (BM25 + Vector embeddings), re-ranking with Cohere, and query rewriting.
Multi-Agent Systems: LangGraph vs Autogen
In-depth guide on stateful graphs, cyclic agent loops, tool calling validation, and memory management for agentic workflows.
PEFT, LoRA & QLoRA Fine-Tuning Guide
Step-by-step interview breakdown of quantization (GGUF/AWQ), low-rank adaptation matrices, and memory reduction techniques.
Designing Real-Time AI Recommendation Engine
Scalable architecture design covering feature stores (Feast), two-stage retrieval + scoring pipelines, and latency budgets.
LLM Observability & Guardrails Evaluation
How to answer system evaluation questions: hallucination scoring (TruLens/Ragas), token cost tracking, and safety filters.
Top 50 Graph & Dynamic Programming Patterns
High-frequency coding patterns asked in Google, Meta, and OpenAI technical screening rounds.
Ready to test your knowledge?
Take our timed practice tests with interactive domain questions and instant AI explanations.