Industrial Automation Architect | Agentic AI | RAG | Loop Engineering
I am a Senior Automation Manager and Aspiring Technical Fellow specializing in the intersection of legacy industrial manufacturing and next-generation AI architectures. Throughout my career, I have navigated the complex realities of Tier-1 CapEx facility expansions, bridging the gap between high-speed physical automation (PLCs, SCADA, PackML) and modern digital infrastructure. My current focus is on transforming traditional, deterministic factory floors into autonomous, closed-loop ecosystems. On this blog, I write deep-dive technical breakdowns on: Agentic Orchestration: Deploying autonomous AI agents to manage factory exceptions and maintenance loops. Unified Namespace (UNS) & MQTT: Breaking down legacy point-to-point data silos. Loop Engineering & RAG: Implementing Retrieval-Augmented Generation at the edge to solve supply chain and flexibility bottlenecks in hyperscale manufacturing. I believe the future of industrial automation isn't just about faster machines—it is about deploying intelligent software architectures (like the Model Context Protocol) that can reason, decide, and act in real-time. Always open to discussing Agentic AI, UNS architectures, and the realities of modern manufacturing.
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Kartik N V J K
The O(n²) integration math makes the case on its own, because 50 systems turning into 1200-plus point-to-point links is exactly the coupling that makes agentic control impossible to reason about. MQTT with report-by-exception as the transport is a smart prerequisite, since an agent acting on slowly changing signals shouldn't pay for constant polling. When an agent sits on the unified namespace, how are you handling write authority, does it publish back or only observe?