Architecture across the full operating loop
Useful systems rarely live in one clean layer. A field workflow may depend on a cloud API, a local network, a mobile app, an embedded device, a data feed, a broadcast path, a human decision, and a recovery process that only appears when something breaks.
I focus on the seams between those layers: where state is lost, where operators lose confidence, where networks disappear, where data becomes stale, and where automation can either reduce risk or hide it.
The practical work is to make the system observable, recoverable, adaptable, and understandable enough that people can trust it during normal operations and degraded conditions.