I like the work between specialties.
I started in data analysis and backend development, moved through data science and consulting, and took on the systems around the models: cloud infrastructure, delivery pipelines, monitoring, governance and production support.
My current role often starts with an AI or data problem, but it rarely ends there. I design model-and-tool workflows, trace unreliable pipelines, write deployment code and help teams decide who will own the system after launch.
I also teach. Explaining statistics, Python APIs or cloud architecture to a room of learners has made me more careful about assumptions and much better at showing my work.