Articles
Long-form, code-first writing on machine learning — from gradient descent from scratch to shipping RAG systems in production.
Building a Diet AI Assistance App having Converstational feature build using Amazon Bedrock, RAG Knowledge Bases, Cognito, API Gateway, Lambda, DynamoDB
Learn how to design a secure, serverless, multi-user AI Diet Assistant using Amazon Bedrock, RAG, Knowledge Bases, Amazon Cognito, API Gateway, Lambda, DynamoDB
Malicious URL Detection Using AI/ML: A Multi-Class Classification Approach
Learn how to build a scalable multi-class machine learning pipeline using 110 engineered lexical, domain, and short-URL features to detect web threats with 95% accuracy.
Managing Small Context Windows in Language Models
Learn three practical strategies for managing small context windows in large language models, complete with runnable Python examples for sliding window memory and token budgeting with RAG.
ModelOps Monitoring KPIs: A Practical Guide to Monitoring AI Models in Production
ModelOps Monitoring KPIs: A Practical Guide to Monitoring AI Models in Production
Build an Enterprise LLM Assistant with AWS Lambda, API Gateway and Amazon Bedrock
Build a production-ready foundation for context-aware GenAI applications using Amazon Bedrock, AWS Lambda and API Gateway—supporting prompts, email/text context, and PDF-based interactions through a single lightweight interface.
From Data to Predictions: Understanding Linear Regression Through Statistics and Python
Learn how mean, variance, and covariance become the slope and intercept of a Linear Regression model. Follow one running employee-salary example from raw numbers to predictions, with runnable NumPy, Pandas, Matplotlib and Scikit-learn code — all in your browser.