GhostRyter · PickedUp · Buckeye Property Group
AI Systems Engineer (Independent)
- →Multi-agent orchestration. Designed and built GhostRyter, a multi-agent production platform in Claude Code: 17 agents across 4 pipelines governed by a single 523-line production specification, with per-agent blocking acceptance criteria verified programmatically before work advances to the next stage.
- →Evaluation architecture. Built an architecturally firewalled evaluation agent that grades every draft on five dimensions (voice fidelity, strategic alignment, reader service, factual integrity, cross-format consistency) with no access to the production spec or generation agent configs — an LLM-as-judge design that prevents the evaluator from grading toward the generator's instructions.
- →Reliability and operations. Queue layer for unattended batch processing with human checkpoints, git commit per pipeline run with non-blocking failure logging, SQLite research-references database with URL health monitoring, LanceDB vector store for semantic search across prior output, and DevContainer plus Docker isolation. A full run produces ~70 graded drafts across 6 formats in ~30 minutes of unattended runtime.
- →Voice agents. Built three production-grade Retell AI voice agent designs across two LLM providers (Claude Sonnet 4.6, gpt-4.1-mini) for real estate front-desk reception and after-hours emergency maintenance triage, including a 39-node conversation flow with 9 explicit Fair Housing Act guardrail nodes and tool-calling for triage and lead-capture actions. Twilio telephony, n8n on Railway for post-call orchestration.
- →Companion web app (pickedup.live). Next.js 14 / TypeScript site with browser-based real-time voice calls, Kit lead capture, libsql/Turso persistence, Netlify deployment, and HMAC-SHA256 webhook signature verification with 5-minute timestamp window enforcement.