Nicholas Munarriz

About

End-to-end product engineer who built and shipped Shopify Magic, an LLM-powered product-description generator on Amazon Bedrock with RAG over a tenant-isolated vector database, achieving 50% faster content creation, sub-2s latency, and 70%+ merchant adoption. Also led a Flexport migration from a monolithic Rails app to microservices using feature flags and parallel runs, delivering zero downtime and a 60% improvement in development speed.

Key Strengths

• Owned and shipped AI product end-to-end (frontend, backend, data, infra) with sub-2s latency at scale
• Delivered measurable business impact: 50% reduction in content creation time; 70%+ merchant adoption/acceptance
• Production-grade testing and observability (Jest, Cypress, Datadog RUM/APM, Kafka telemetry)
• Built and productionized RAG with tenant-isolated vector DB plus privacy/brand-safety guardrails and weekly review process
• Legacy modernization leadership: monolith Rails to microservices via feature flags, parallel runs, and full test coverage; zero downtime; 60% faster development
• Exec stakeholder partnership (CPO/CTO): translated ambiguous goals into roadmap using impact/effort and data-driven tradeoffs
• Effective multi-team execution with minimal oversight using async updates and shared dashboards; shipped in ~6 weeks
• Uses AI dev tools (Claude Code, Copilot) for scaffolding/architecture and async streaming design; ~30% faster delivery

Experience

Education

Skills

Languages