Self-Healing Data Pipeline Agent
An agentic ETL system that detects schema drift, drafts controlled fixes, requires human approval, validates recovery, and automatically rolls back failed mutations.
Autonomy is useful only when the system is observable, testable, grounded, and bounded. These projects explore those constraints through data reliability, research, support automation, and developer workflows.
An agentic ETL system that detects schema drift, drafts controlled fixes, requires human approval, validates recovery, and automatically rolls back failed mutations.
A multi-hop research agent that expands questions, retrieves evidence, builds a citation graph, grades sources, detects contradictions, and produces a traceable report.
An agentic support workflow designed to read tickets, inspect data, plan safe versus destructive actions, request confirmation where needed, and produce auditable resolution records.
An engineering agent designed to read failing CI logs, classify errors, reproduce failures, propose code patches, validate fixes, and open approval-ready pull requests.