AI Solutions Architecture, Technical Talks, and Advisory from a 20-year systems architect who started as a skeptic and learned exactly where the line is.

I spent two decades designing complex software systems — routing engines, healthcare platforms, ecommerce architectures, logistics optimization. When AI entered the conversation, I was skeptical. I’d seen enough technology hype cycles to know that the gap between a demo and a working system is where most promises die.

Then I started building AI systems. Not fine-tuning models or running Jupyter notebooks — designing production architectures where LLMs are one component of a larger solution. Content Understanding and LLM pipelines. Agentic workflows. Decision-support systems. The kind of work where a 95% accuracy rate means 5% of your output is wrong, and you need to architect around that reality.

I know what works. I know what doesn’t. And I know how to tell the difference before you spend the money to find out the hard way.