I am a graduate research assistant at Carnegie Mellon University (CMU). My work and interests primarily focus on multimodal machine learning, self-supervised learning, on-device machine learning, and model compression for optimization and improved efficiency. In general, my interests revolve around the real-world applications of AI/ML in various fields.

Interests

I primarily focus on using machine learning models as statistical predictors in various fields (e.g., aviation, autonomous driving, robotics, and human factors). My recent research and projects have been concentrating on multomodal machine learning and Retrieval Augmented Generation (RAG). I suggest you explore my projects featured on Projects page.