AI Solutions Engineer. I build and ship LLM-powered automations, agents, and integrations that remove manual, repetitive work.

Toronto-based. I take a messy operational problem, design the system, wire the APIs, orchestrate the models, and ship it. I work across the stack enough to build and deploy end to end, and I run my own operations on the same tools I build with.

• AI / LLM: Claude API, OpenAI API, MCP, agentic workflows, prompt engineering
• Automation: n8n, Zapier, Make, REST APIs, webhooks, event-driven workflows
• Build: Python, FastAPI, TypeScript/JavaScript, React, Next.js, Node, PostgreSQL, Docker, AWS

• Reply-handling pipeline (human-in-the-loop) for a live multi-inbox operation. Deterministic Python for intake and gating, LLM intent classification, rule-based routing, drafted responses held for review before anything sends. (Python, Claude Code)
• Pabau → HubSpot integration. Event-driven sync (payments and appointment completions) that eliminated daily manual CRM entry for a medical clinic. (n8n, webhooks, HubSpot REST)
• Motif. AI music-generation app (text → music) with an async job queue. (FastAPI, Celery, Redis, Postgres, React, AWS S3)

• LinkedIn: in/ryannerby
• Email: ryan@sylven.co

_{🎵 Also a certified gold music producer.}