AI Engineering
Practical AI projects, experiments, tutorials, and applied research.
Build a Face Recognition System with Python and InsightFace
Can AI tell whether two photos belong to the same person?
In this week’s hands-on AI project, you’ll build a complete face recognition system using Python and InsightFace. Learn how AI detects faces, generates facial embeddings, compares…
From Simulation to Prediction: Learning Fluid Dynamics with AI
Can an AI predict how fluid moves?
In this piece, I explore how a physics foundation model—WALRUS—learns to forecast the evolution of a heated fluid system. Instead of solving equations, the model observes patterns and generates its…
AI-Assisted Protein Analysis: From Sequence to Drug-Binding Hypothesis
Can AI help us understand how medicines interact with the body?
In this edition, I explore a beginner-friendly experiment where I used AI tools like AlphaFold and AutoDock Vina to go from a protein sequence to a…
Building a Persona-Driven Survey Engine Using AI
What if you could test your product idea before having real users?
In this post, I show how to use AI personas to build a synthetic focus group—generate surveys, simulate responses, and uncover insights early.
Earth, in a Bottle. A Robot, with Imagination. And an AI That “Knows Everything.”
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…
Deep Learning Concepts for Beginners : Cooking Pasta Analogy
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,…
AI Engineering brings together practical AI projects, experiments, tutorials, and applied research notes on building real-world AI systems. The goal is to make AI engineering easier to understand through concrete examples, beginner-friendly explanations, and practical implementation notes.