AI Engineering
Practical AI projects, experiments, tutorials, and applied research.
How AI Agents Remember: A Beginner’s Guide to Memory, Embeddings and Vector Databases
How do AI agents remember conversations, retain user preferences and retrieve relevant information? This beginner-friendly guide explains how short-term and long-term memory work, including embeddings, vector databases, semantic search and indexing. It also explores how to…
System 1 vs LLM: Does Every AI Decision Really Need a Large Language Model?
Does every AI decision need the power of a general-purpose LLM? We tested Jev 1.13 as a System 1 decision model against an OpenAI LLM for a banking model-routing problem. The experiment revealed substantially lower observed…
Build an AI-Powered Glacier Monitoring System: What Satellites Revealed Before the 2026 Langtang Lirung Collapse
Can AI see a glacier disaster coming?
Satellite and climate observations before the 2026 Langtang Lirung event revealed exceptionally warm, melt-favourable conditions—but an unsupervised AI model did not find a unique monthly warning signal.
That “negative” result teaches…
Build an AI-Powered Financial Digital Twin: Simulate a $100 Billion Bank with Python
What happens when a bank’s cloud region fails?
It may not remain an IT problem.
Cloud failure → payment disruption → customer impact → deposit withdrawals → liquidity stress.
I explored how Python, NetworkX, SimPy, Monte Carlo simulation, financial…
Build an AI Signature Verification and Fraud Detection System
What if a signature matches perfectly because a fraudster copied the genuine signature?
That’s why signature verification needs more than one neural network.
This project combines:
YOLO detection → Siamese embeddings → structural analysis → document forensics → evidence…
AI Signature Extraction and Manual-Signing Indicator Analysis
Can AI tell whether a document contains a handwritten signature?
Finding the signature is only the beginning.
In this project, we combine YOLO, Segment Anything, OpenCV, feature extraction, quality gates, and human review to build an AI-assisted signature…
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.