Backend Engineer focused on commerce APIs, AI workflow systems, and cloud operations.
I build production backend systems with NestJS, FastAPI, PostgreSQL, Redis, and AWS. Recently, my work has centered on education-commerce marketplace domains, serverless notification pipelines, internal operations tooling, and LLM-based document processing workers.
- Commerce backend: orders, payments, refunds, coupons, points, memberships, partner-center workflows, and admin operations.
- AI workflow systems: LLM workers, document parsing, LangGraph-style orchestration, MCP workflows, RAG, and VectorDB integrations.
- Cloud operations: AWS ECS Fargate, Lambda, SQS, DynamoDB, S3, CloudWatch, Docker, CI/CD, runbooks, and incident response.
- Product-minded engineering: practical API design, data consistency, short transactions, rollback paths, QA support, and operational documentation.
- ai-commerce-ops-agent - FastAPI + LangGraph backend demo for AI-native commerce ops, MCP tool boundaries, runbooks, graph context, and SSE events.
- tossinvest-openapi-mcp - Safe-by-default MCP server for Toss Securities Open API with read-only market/account tools and gated order operations.
- chat_server_lite - Realtime chat backend with NestJS and Rust implementations, WebSocket gateways, Redis, and Docker deployment.
- event-reward-project - NestJS microservice event/reward platform with gateway, auth, MongoDB, Swagger, and automated reward logic.
- intellideck - Next.js generative UI experiment using AI SDK streamUI to generate interactive React components.
- soap_server - NestJS API server for a mobile diary/logging service with email auth, database integration, and service-ready structure.
TypeScript, NestJS, Fastify, Node.js, Python, FastAPI, PostgreSQL, MySQL, Redis, DynamoDB, MongoDB, AWS ECS Fargate, Lambda, SQS, S3, Docker, Kubernetes, GitHub Actions, LangChain, LangGraph, MCP, RAG, VectorDB, React, React Native.