⌘work03

built the async layer of the platform's mcp server, the part that lets ai assistants call its rest api. handles authentication, retries and region routing, and writes error responses a machine can act on, so an agent recovers from a failure without a person.

shipped the offline layer so field technicians can finish a full calibration with no internet. changes save on the device and upload on reconnect, and a single flush carries 1,000+ records with concurrency capped so the backend keeps up.

wrote a small language for calibration formulas, parser and type checker through to the in-app editor, so the editor rejects a bad formula before anyone runs a calibration with it.

automated the handoff between pull requests and the issue tracker, so a ticket moves with the pull request that references it and a set of checks a reviewer used to run by eye now runs on its own.

implemented secure sign-in and role-based permissions on a tuition-management platform: three roles, each with its own views and actions.

created the react views for each role, so a student never sees what a teacher can do.

improved platform stability with better error messaging and logging, which cut application crashes by 30%.

tuned site performance and search ranking, which lifted daily visitor traffic by 20%.