Technical Support Engineer 2 — AI Agent Architecture & Data Pipeline Forensics (SUPERMETRICS, 2023–2026)
Engineered and operationalized AI support workflows that required structured labeling of customer and support signals to drive correct ticket prioritization. Designed ingestion parameters and tuning loops so the model could distinguish user errors versus systemic outages while maintaining consistent logic constraints. Performed evaluation-driven adjustments to reduce false positives and ensure correct mapping of enterprise metadata signals. • Labeled/verified customer ARR-related metadata from unstructured sources for enterprise ticket ranking. • Tuned escalation prompt behavior to improve decision accuracy under ambiguous cases. • Audited and corrected model drift via manual feedback loops and logic guardrails. • Analyzed failed JSON data pipelines to validate schema matches and data integrity.