Technical Blog
Deep dives into data engineering, cloud architecture, AI/ML, and the technologies that power modern data platforms.
An AI agent is an LLM that can use tools, plan, and take actions in a loop until a goal is achieved. Learn the ReAct pattern, build your first agent with tools, and understand when agents are the right choice — and when they are not.
RAG is the most important pattern in enterprise AI. It solves hallucination, knowledge cutoff, and data privacy in one architecture. Build a complete RAG pipeline from scratch — with working code, chunking strategies, and evaluation.
Most RAG demos stop at "it answers questions". Production RAG needs audit trails, PII masking, confidence scoring, and source attribution. Here is the architecture I built, and the governance decisions that make it enterprise-deployable.
