Rahul Porwal's research interests lie in Natural Language Processing (NLP), specifically in developing tools to pre-annotate grammatical features of African American English (AAE). Currently, He is focused on a comparative study of the performance of various models, including large language models (LLMs), Transformers, and other machine learning techniques, for detecting these grammatical features.