Practical, implementation-minded AI guidance
I'm an AI engineer with years of hands-on experience building automations, agent workflows, and internal tools. My focus is not AI hype or abstract theory. I help teams understand what AI can realistically do, where it breaks down, and how to turn promising ideas into safe, useful systems that save real time.
Before advising, I build. That means recommendations come from shipping real automations — not slide decks about what AI might do someday. I work with small and mid-sized teams that want adoption to be practical, measurable, and grounded in how people actually work.
You do not need a machine learning research team to start using AI well. You need clear use cases, well-designed automations, sensible guardrails, and a way to measure whether the work is actually helping.