Technical Portfolio

Driven by self-motivation and ambition, I have successfully built an end-to-end Machine Learning (ML) pipeline as a Research Engineer for Niramai, a healthcare startup. My research focused on developing Mask-RCNN model for object (tumour) detection in mammography scans.

Currently, I am a Research Assistant pursuing a graduate degree in Computational Data Science at Carnegie Mellon University. My research revolves around harnessing the potential of Large Learning Models (LLMs) in Curricular Development, showcasing my dedication to integrating ML into impactful fields.

These accomplishments highlight my expertise in working with diverse data modalities and exploring various domains within Machine Learning. They also reflect my adaptability and unwavering commitment to continuous learning and professional growth.