AI Engineering

Earth Models, World Models, and Global Models are three fast-growing “families” of AI systems that are often mentioned together—but they solve very different problems. This blog provides an accessible, research-oriented map of the landscape for readers…

What does learning deep learning have in common with cooking pasta? More than you might think. In this article, I explain deep learning concepts for beginners using the familiar process of learning to cook pasta—preparing ingredients, tasting, adjusting,…

What if understanding neural networks felt as natural as watching someone learn basketball? In this short read, I explain how a neural network learns—using the simple, familiar journey of a player practicing shots, missing, adjusting, and improving….

What happens when your AI model is accurate… but not private? Trust disappears. In this blog, I show you how to build privacy into your models using simple concepts like epsilon, clipping, and federated learning. We even run…

Curious how AI models make decisions—or what goes on inside their “black box”? In my latest blog, I break down explainable AI with hands-on Python examples, using real tools like SHAP, LIME, ELI5, and DALEX. Whether you’re…

Ever wondered how AI decides who gets hired or approved for a loan? Spoiler: it sometimes inherits our biases. In my latest blog, I uncover how bias sneaks into machine learning—and how we can fix it to make…