HOW I THINK
The model is one component.
Useful GenAI products depend on data boundaries, retrieval quality, tool permissions, evaluation discipline, predictable interfaces, failure recovery, and clear evidence. I design those pieces as a system—not as an afterthought around a prompt.
My background spans transformer-based NLP, full-stack AI applications, infrastructure knowledge systems, and agentic workflows. That progression shaped a practical bias: build the smallest reliable control loop, measure it, then expand autonomy only where the evidence supports it.