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

  • Why RAG Systems Sometimes Answer Questions Nobody Asked

    A Production Lesson Every AI Engineer Eventually Learns   One of the most surprising moments when deploying a Retrieval-Augmented Generation (RAG) system to production is watching users become frustrated by an AI that appears highly intelligent but somehow feels socially unaware.   The user says: Thank You The AI responds: According to the my knowledge…

    Amit Patriwala

  • Learn AI for Free: 10 Platforms From OpenAI, Google, Microsoft, NVIDIA & More

      A few years ago, learning Artificial Intelligence felt expensive.   People spent thousands of dollars on bootcamps, certifications, and online programs hoping to gain AI skills that could improve their careers.   Today, something remarkable has happened.   The companies building the world’s most advanced AI systems are teaching people for free.   Not…

    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

  • Want to Learn AI Without Spending Thousands on Courses?

      Microsoft has made its entire AI for Beginners curriculum available for FREE on GitHub.   📚 12 Weeks | 24 Lessons | Hands-On Labs | Open Source   This isn’t a marketing tutorial or a collection of random videos. It’s a structured learning path created by Microsoft Cloud Advocates that covers the fundamentals of…

    Amit Patriwala