Lan Chu

Lan Chu is a Senior Data Scientist and AI Engineer with over seven years of experience specializing in machine learning models, NLP, search, and retrieval systems for large-scale financial products. Currently, they are writing a book on post-training language models and inference optimization. Their content primarily focuses on retrieval-augmented generation (RAG), agentic workflows, and post-training language models. Lan shares educational and technical insights on linear algebra, non-linear transformations, and basic statistics in AI, often linking to visual resources to aid understanding.