I am passionate about exploring the capabilities of Large Language Models (LLMs) to reason across language, images, and code, leveraging approaches such as In-Context Learning (ICL), Retrieval-Augmented Generation (RAG), and various LLM tuning methods.

Additionally, I am deeply intrigued by the potential of LLMs and Transformer-based technologies for geospatial applications, developing spatially aware models, and integrating Graph Neural Networks (GNNs) for enhanced inference and reasoning across multiple modalities.

Please reach out to collaborate 😃