Books

• GPU Programming

  A complete course that teaches you to predict how fast a kernel can go, measure how fast it does go, and close the gap. From CPU parallelism to Hopper, Blackwell, FlashAttention and multi-GPU inference.

• RAG: From First Principles

  Retrieval-augmented generation built and measured step by step. Embeddings, chunking, hybrid search, reranking, evaluation, hallucination, agentic RAG with LangGraph, and ingesting a million PDFs.

• Agentic Systems

  How real AI agents are designed, measured and run in production: the agent loop, tools and memory, the reasoning and workflow patterns from the research papers, multi-agent systems, evals that actually catch regressions, tracing, guardrails, and what companies like Uber, DoorDash and Anthropic learned the hard way. Written for engineers who know what an LLM call is and want to build systems around it.

• LLM from Scratch

  Build a language model end to end (tokenizer, data pipeline, architecture, pretraining, fine-tuning, mixture of experts, reasoning and RL with GRPO), then learn how frontier labs do the same thing at scale.

• LangGraph & LangChain

  A doc-verified, code-first book on LangGraph 1.2 and LangChain 1.4: models, messages, graphs, checkpointers, middleware, multi-agent systems and a production architecture review.