Kanchan Poudel is a Research Assistant at NAAMII with a strong focus on leveraging computational problem-solving to create positive impact. Her primary research areas include computer vision, vision language models, and speech recognition systems designed for low-data regimes. Currently, she is developing an AI-assisted tool for cervical cancer screening specifically designed for resource-constrained environments. This work addresses a critical healthcare need by making advanced diagnostic tools accessible in settings with limited medical infrastructure and expertise. Her research approach emphasizes practical applications of machine learning that can operate effectively with limited training data, making AI solutions more accessible and applicable to underserved populations.