Summary
Nickil Maveli is a PhD student in NLP at the University of Edinburgh with a decade of industry and research experience at the intersection of machine learning, natural language processing, and information retrieval. Supervised by Professors Shay Cohen and Antonio Vergari, his research focuses on unsupervised syntactic parsing, semi-supervised learning, interpretability, robustness, and language bias—areas he pairs with applied work in production NLP systems. He has operationalized multilingual, active-learning classification pipelines and built real-time speech and hybrid-language models in industry roles at Cookpad and Niki, and recently explored integrating knowledge graphs with LLMs during a Huawei research internship. Comfortable moving projects from prototype to deployment, he combines strong probabilistic modeling and feature engineering skills with practical gains in accuracy and user satisfaction. Based in Edinburgh, he brings a research-driven mindset to real-world language challenges and a track record of improving systems where data scarcity and bias matter.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Natural Language Processing, Doctor of Philosophy - PhD, Natural Language Processing at The University of Edinburgh
Bachelor's degree, Electronics and Communication Engineering, Bachelor's degree, Electronics and Communication Engineering at CMR Institute Of Technology
English, Hindi, Malayalam, Kannada, French