Built intelligent reading app using LLMs, RAG for personalized content recommendations and contextual document analysis
- Developed visual no text comprehension ai system using few-shot prompting techniques, enabling models to infer patterns and logic from 3-5 examples with 75% generalization accuracy.
- Fine-tuned language models for financial/legal document analysis and implemented agentic workflows for autonomous multi-document research