AI Engineer | AI Relevancy Scoring & Audit Automation - HOMEFIELD
Built a configurable Claude-based scoring workflow for URL evaluation rules including topical relevance, authority, spam risk, and link likelihood. Designed a framework normalizing six raw signals into a 0–100 composite score with traceable audit trails. Replaced manual SEO audits with an agent-driven process for prompt refresh, cache clearing, headless audits, and CSV export through FastAPI endpoints. Implemented Claude contact extraction with regex fallback, returning up to three ranked outreach names, titles, and emails per approved URL. Combined model outputs, rule-based checks, and structured responses for consistent scoring. Stack: Python, Claude, FastAPI, Pydantic, REST APIs, agent orchestration, structured outputs, CSV pipelines.