Built solutions using LLMs for multiple real-world applications, across a range of tasks including text summarization, semantic search, named entity recognition (NER), and multimodal analysis. This work has spanned research on state-of-the-art transformer models tuned for specific use cases to production ready retrieval-augmented AI applications.

Approaches include: LLMs, transformers, finetuning, prompt-tuning, LLM evaluation, retrieval-augmentation