<p>Led an enterprise re-platforming from a high-traffic Magento 2 monolith to a Commercetools microservices architecture, improving scalability, deployment flexibility, and long-term maintainability.</p><p> Served as the hands-on technical lead for a five-developer team, spending approximately 70% of time on architecture and implementation and 30% on technical planning, code reviews, mentoring, defect resolution, and release readiness.</p><p> Built an AI shopping assistant (RAG) using LangChain and LangGraph to deliver product Q&A, side-by-side comparisons, and personalized suggested questions, grounding responses in GraphQL product data and Cloudflare KV knowledge, with LangSmith tracing and graceful evaluation to guide quality improvements.</p><p> Architected an event-driven synchronization service for approximately 8,700 products using PHP/Laravel, Google Cloud Pub/Sub, webhooks, MongoDB-backed queues, 250-item batching, and automated retries.</p><p> Reduced cart and checkout response time by 67% from approximately 3 seconds to 1 second by consolidating fragmented GraphQL calls and redesigning shared checkout state.</p><p> Delivered payment integrations across a React PWA and Magento 2, covering payment initialization, callback validation, mobile redirects, status polling, duplicate-safe order creation, and transaction-state handling.</p><p> Delivered full-stack commerce features for catalog, search, cart, checkout, payments, accounts, and orders using React, Vue.js, Laravel, GraphQL, REST, and Commercetools.</p><p> Automated clearance inventory operations with an n8n workflow that refreshed warehouse inventory hourly despite no direct API integration, saving approximately 20 staff hours per week.</p><p> Applied AI-assisted development (spec-driven) to accelerate implementation, code exploration, testing, and debugging while validating output quality.</p><p> Improved production reliability through New Relic monitoring, distributed tracing, and Slack alerts for checkout and payment failures, enabling faster root-cause analysis and incident resolution.</p><p> Established engineering practices covering Git workflows, Azure DevOps pipelines, peer code reviews, QA validation, sprint planning, backlog management, and release governance.</p>
