I’m Sugiharso. I build agent workflows and data systems with quality controls you can inspect, understand, and trust.
SCROLL TO EXPLORE ↓Good automation has a clear path through uncertainty. I work where AI, data, and quality engineering meet—making decisions observable and release steps deliberate.
Switch safeguards on and off, then drag the autonomy slider. See how the operating model changes. This is an illustrative design exercise, not a product control.
AI helps prepare the work; checks, review, and traceable state keep decisions accountable.
A Python and SQLite workflow for listing operations. Specialized agents work through ordered quality gates, with the database as the source of truth and a taskboard for visible progress.
Illustrative summary of a longer gated workflow. Each transition depends on persisted evidence.
A PostgreSQL, SQL, and Python pipeline focused on data quality. It makes checks and pipeline health explicit so data problems surface before they become downstream surprises.
VIEW REPOSITORYIllustrative matrix, not live metrics or a product screenshot.
A private marketplace compliance callback that handles verified notifications and controlled review. The work emphasizes a clear boundary between receiving an event and acting on it.
I bring software quality engineering into emerging AI workflows and data systems, with practical attention to verification, traceability, and release control.
