Muhammad Farman is a Lecturer at UMT and a Computational Linguist working at the intersection of Generative Syntax, Morphosyntax Interface, Lexicography, NLP, AI, and Low-Resource Language Processing. His research focuses on Indo-Aryan languages, Mewati syntax, computational grammar, syntactic parsing, and syntax-aware AI, with an emphasis on developing linguistically informed and interpretable NLP systems. His technical expertise includes Python, spaCy, and NLTK, alongside research in AI for fraud detection and language technologies for under-resourced languages.