eSupervisor Detail

About me

As an AI researcher with a doctoral background in Natural Language Processing, I design and implement machine learning algorithms to extract meaningful insights from complex datasets. I combine rigorous research design with statistical modeling to develop high-performance systems and communicate technical findings through peer-reviewed scientific literature.

Interests: My research interests lie primarily in Natural Language Processing, with a strong focus on healthcare and domain-specific text analytics. I am particularly interested in designing and evaluating machine learning models for tasks such as sentiment analysis, clinical text classification, and conversational AI. My work emphasizes research problem formulation, experimental design, and model evaluation, with a focus on producing reproducible and publication-quality outcomes. I am also actively exploring Large Language Models, including fine-tuning, prompt engineering, and human-in-the-loop evaluation (e.g., assessing chatbot responses), and I am interested in extending my research into data science and analytics to derive meaningful insights from complex datasets.