Back to Case Studies

Greenfield MACH E-Commerce Platform

The Objective

Replace a brittle, slow-performing legacy e-commerce monolith with a highly scalable, fully distributed MACH (Microservices, API-first, Cloud-native, Headless) platform to support millions of transacting users.

Architecture & Engineering

  • Modern Frontends: Designed and developed a multi-regional Next.js storefront coordinating complex data flows across five independent micro-frontend applications.
  • Data flow & APIs: Tied the frontends to a bespoke GraphQL API Gateway, integrating BigCommerce, Constructor.io (for intelligent search and product beaconing), and payment checkouts.
  • Backend Optimization: Implemented the GraphQL server with clean Repository and Adapter patterns. Configured advanced query batching and field-level caching to protect downstream microservices and dramatically slash response times.
  • Supply Chain Integration: Coordinated transaction workflows by integrating enterprise supply chain APIs including OrderDynamics, ShipperHQ, and Narvar for shipment tracking and logistics management.

AI Productivity Integrations

To scale the delivery team's throughput, I spearheaded the creation of "Bug Buddy", an internal MCP-based LLM debugging agent. This tool reviews Pull Requests, identifies syntax errors and edge cases, and provides instant code refactoring suggestions. This innovation shortened debug cycles and cut code review overhead, allowing the team to focus on feature delivery.

UI Standardization & Governance

Built a centralized React UI Component Library using Storybook for design isolation. Combined with automated design token generation via Style Dictionary, this library became the single source of truth, eliminating styling inconsistencies and slashing developer onboarding times.