The Engineering Behind Enterprise AI

  • Introducing PersonaGraph: The Problem Every AI Power User Ignores

    moved to https://aitechpartner.com/introducing-personagraph-the-problem-every-ai-power-user-ignores/

    Amit Patriwala

  • RAG Evaluation Techniques — A Field Guide for Multi-Turn Voice Agents

    RAG Evaluation Techniques — A Field Guide for Multi-Turn Voice Agents   How to rigorously evaluate retrieval-augmented generation (RAG) in conversational voice agents — distinct from simple document Q&A interfaces. Written from real-world implementation experience with production voice systems.   All examples use the fictional company FleetPulse (fleet telematics provider) to illustrate concepts without referencing…

    Amit Patriwala

  • The Hidden Context Window Problem in RAG Systems: A Real Production Incident with vLLM and Qwen3

    When Your 32K Context LLM Fails at 4K Tokens: A Production vLLM Troubleshooting Guide   One of the most common misconceptions in Generative AI systems is: “The model supports 32K context, so my application automatically supports 32K context.”   In production, that assumption can lead to unexpected failures.   Recently, we encountered a production issue…

    Amit Patriwala

  • Google Gemma 4 12B: The Model That Signals a Bigger Shift in AI Infrastructure

    Over the past year, I’ve spent a considerable amount of time working with both local and production AI environments.   On one side, I’ve been experimenting with local LLMs using Ollama, testing quantized models, and exploring how much intelligence can realistically run on developer laptops.   On the other side, I’ve been deploying production workloads…

    Amit Patriwala