Trust Is a Post-Deployment Problem Too

Healthcare AI evaluation should not stop when the model is deployed.

A practical lifecycle is:

Develop → Validate → Deploy → Monitor → Reassess

Real-world data can differ from development data. Workflows can change. Users can interact with the system in unexpected ways.

For agentic AI, monitoring should also consider whether the system remains within approved boundaries and escalation rules.

Trust is therefore not a one-time metric.

It is an ongoing engineering and governance process.

I am open to remote roles globally.