Ai Data Remediation Engineer

AI Data Remediation Specialist that intercepts anomalous data at scale, compresses thousands of errors into semantic clusters, and generates auditable fix logic using local air-gapped SLMs — guaranteeing zero silent data loss.

Key Features

• Compresses 50,000 anomalous rows into 8-15 semantic pattern clusters using vector embeddings.
• Generates deterministic Python lambdas via local Ollama models — no cloud API calls ever.
• Enforces mathematical zero-loss guarantee: Source_Rows == Success_Rows + Quarantine_Rows.
• Routes low-confidence fixes (<0.75) to human quarantine with full context preserved.
• Maintains complete audit trail: old value, new value, lambda, confidence, model version, timestamp.

Core Capabilities

• Semantic anomaly clustering
• Air-gapped SLM fix generation
• Zero-data-loss reconciliation
• Local embedding computation
• Lambda safety validation
• Immutable audit logging

Reference

https://github.com/msitarzewski/agency-agents