ROHITH SARGUNAN

Python. Experienced in building end-to-end LLM systems, including RAG pipelines, agent workflows, and scalable backend architectures.

Working on improving agent orchestration, retrieval systems, and LLM fine-tuning. Focused on making AI systems reliable, efficient, and production-ready.

Building production-ready RAG and agent systems, focusing on retrieval quality, system design, and cost-efficient AI deployment.

Open to discussions on RAG, LLM systems, and production AI design. Happy to collaborate on building and improving real-world AI applications.