Insights on data products, analytics engineering, and shipping ML to production
I'm not a developer. But two months ago I watched a YouTube video that made me think — what if I just tried? Here's how I built a real AI product using nothing but prompts and Claude Code.
How I built Chat with Data — a tool that lets you upload a CSV, ask questions in plain English, and get SQL queries, results, and charts without your data ever leaving the browser.
A hands-on walkthrough of Microsoft Fabric's lakehouse architecture and how it simplifies the modern data stack.
Real-world lessons from deploying machine learning models at scale — monitoring, retraining, and avoiding silent failures.
Exploring five pivotal data-centric technology trends — from big data analytics and IoT to edge computing, data privacy, and AI-powered personalization.