Sreenivasa Reddy Hulebeedu Reddy

Guest Author

Sreenivasa Reddy Hulebeedu Reddy is a lead software engineer and enterprise architect with over a decade of experience designing and deploying AI-driven, cloud-native customer interaction platforms at enterprise scale across telecommunications, healthcare, and financial services. He specializes in optimizing LLM-powered systems for production, reducing operational costs while improving performance, and serves as a peer reviewer for Wiley-IEEE Press and Manning Publications, chairing sessions at international conferences.

Conversational AI doesn’t understand users — 'Intent First' architecture does

The modern customer has just one need that matters: Getting the thing they want when they want it. The old standard RAG model embed+retrieve+LLM misunderstands intent, overloads context and misses freshness, repeatedly sending customers down the wrong paths.

Sreenivasa Reddy Hulebeedu Reddy

January 25, 2026

Why your LLM bill is exploding — and how semantic caching can cut it by 73%

Our LLM API bill was growing 30% month-over-month. Traffic was increasing, but not that fast. When I analyzed our query logs, I found the real problem: Users ask the same questions in different ways.

Sreenivasa Reddy Hulebeedu Reddy

January 12, 2026