Hi, I'm Chris.

I've spent more than 20 years turning complicated technology problems into solutions that actually work — and, hopefully, making them a little easier to understand along the way.

My career started at EMC, where I learned the fundamentals of enterprise infrastructure, storage, networking, and what it really means to build systems that businesses depend on. From there, I moved through engineering, consulting, professional services, and pre-sales, designing everything from massive retail infrastructure and data center environments to cloud-native SaaS platforms and data pipelines.

Along the way, I discovered that I really enjoy being at the intersection of technology, business, and people — understanding what someone is trying to accomplish, figuring out the technology behind it, and then explaining it in a way that makes sense.

Now I'm adding AI to that toolbox.

I'm learning LLMs, RAG, agents, vector databases, and the emerging world of agentic AI by actually building things — not just reading about them. This site is where I'm documenting that journey, experimenting in public, and sharing what I learn along the way.

After 20+ years in technology, I'm still curious about what's next. That's probably the part that hasn't changed.

Latest from the Lab

• Write evals before tuning prompts

  October 5, 2026

  Is my RAG producing good answers?

  • shipped
  • rag
  • evals
  • LLM
  • gpt
  • guardrails

• Build a small retrieval-augmented (RAG) Q&A

  October 1, 2026

  Build a small retrieval-augmented (RAG) Q&A over my own case studies.

  • shipped
  • rag
  • postgres
  • pgvector
  • fastapi

• What Is My Context Window

  September 26, 2026

  Determine what my context window and how to use it

  • shipped
  • context window
  • tokens
  • LLM
  • size

All experiments →