Technical Blog
Deep dives into data engineering, cloud architecture, AI/ML, and the technologies that power modern data platforms.
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.
A systematic, concept-by-concept guide to mastering AI engineering and preparing for AI Tech Lead interviews — covering LLMs, RAG, agents, MLOps, governance, and leadership.
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.
