Writing about AI engineering, chemical engineering, and the intersection of both — from system architecture to industrial applications.
Most AI discourse focuses on chatbots. The real engineering challenge is the architecture layer beneath them — orchestration, memory, and tool integration.
P&IDs and PEFS documents hold decades of engineering knowledge locked in diagrams. AI is finally learning to read them.
How deep learning models are transforming equipment maintenance in energy infrastructure — from reactive repairs to predictive intelligence.
A practical comparison of agentic AI patterns — when to use ReAct, Plan-and-Execute, or multi-agent architectures for production systems.
Process engineering and AI engineering share more DNA than you'd think. Mass balance, feedback loops, and systems thinking translate directly.
Retrieval-Augmented Generation handles simple lookups well, but for complex reasoning over interconnected data, you need knowledge graphs.