The Engineering Behind Enterprise AI

  • The Future of AI Coding Isn’t Better Code—It’s Better Engineering

    The Real AI Coding Problem Nobody Is Talking About Why “hallucinations” are just the symptom — and the actual disease is something I call Engineering Drift.   Six months ago, I sat in a kickoff call for a Customer Support Platform. Nothing exotic. Tickets, chat, uploads, notifications, a billing plan, an admin dashboard. The kind…

    Amit Patriwala

  • Why a 7B Parameter Model Won’t Run Comfortably on a 14 GB GPU (And Why Most Engineers Get This Wrong)

    If you’ve recently started working with Large Language Models (LLMs), you’ve probably seen a calculation like this:   7 Billion Parameters × 2 Bytes (FP16) ≈ 14 GB   At first glance, it seems perfectly reasonable to conclude: “A GPU with 14 GB of VRAM should be enough.”   Unfortunately, that’s one of the most…

    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