✍️ Blogs & Insights
AI/ML Articles & Tutorials
Practical guides, architecture deep dives, and hands-on engineering essays curated like a technical magazine issue.
9 articlesHow to Build a RAG System That Survives Production
From a 40-line prototype to production: chunking, hybrid retrieval, reranking, grounded generation, and evaluation — with real Python code.
The Complete LLM Cheatsheet: Tokens to Deployment
Everything you need to understand, build, and ship with Large Language Models — transformers, attention, training, fine-tuning, RAG, and deployment.
25 RAG Scenarios Every AI Engineer Should Know
Real-world RAG problems and their solutions — chunking failures, embedding migrations, hallucination fixes, and production hardening.
What Is Machine Learning? A Beginner's Complete Guide
Understand supervised, unsupervised, and reinforcement learning — with clear examples and zero jargon. The best starting point for any AI journey.
The Transformer Architecture, Explained Simply
Self-attention, positional encoding, and why transformers replaced RNNs — broken down step by step.
Prompt Engineering: Techniques That Actually Work
Chain-of-thought, few-shot, system prompts, and structured outputs — a practical guide for LLM users.
RAG Explained: Retrieval-Augmented Generation from Scratch
How RAG works, when to use it, and how to build a simple RAG pipeline with embeddings and vector stores.
MLOps Essentials: From Notebook to Production
Model versioning, CI/CD for ML, monitoring drift, and the tools that make production ML reliable.
SWE Cheatsheet with Terminal Commands
A compact command reference for terminal navigation, debugging, scripting, SSH, Python CLI, Git, and Docker.