Technical Blog
Deep dives into data engineering, cloud architecture, AI/ML, and the technologies that power modern data platforms.
Any engineer can get an LLM to produce an answer. The skill that defines senior AI engineers is building systems that are safe, auditable, and trustworthy — especially when they are wrong. Here is the full governance playbook.
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.
