This repository contains organized notes and interview questions for NLP algorithm engineering positions. It covers programming basics (Python, C++), mathematics (calculus, linear algebra, probability, information theory), machine learning algorithms (SVM, decision trees, logistic regression, random forests), and deep learning fundamentals. The content is structured into topical sections designed to help candidates prepare for technical interviews in NLP and ML roles.