RAG & LLM Engineering
Udbhav Regadamilli builds retrieval-augmented generation systems and LLM-powered applications with a focus on relevance, latency, consistency and production reliability.
RAG capabilities
- Document parsing and chunking
- Embedding generation and vector retrieval
- Prompt pipelines and structured outputs
- FastAPI-based AI backends
- LLM caching and latency optimization
- Evaluation-oriented retrieval improvements
Featured project
RAG-based AI Chatbot for PDF Q&A
FastAPI Backend Engineering · Portfolio · AI-readable full context