Distributed Order Fulfillment System (automated fulfillment decision workflow)
Developed production-style order fulfillment backend logic with async processing and idempotent workers to support downstream operational decisions. While not a human annotation job, the workflow includes programmatic categorization and rule-based processing that functions as automated labeling for inventory/fulfillment state transitions. The system used Redis and PostgreSQL to coordinate processing and maintain consistent operational records. • Implemented async workers and idempotent processing for reliable state handling. • Used transactional locking and inventory reservation for consistent fulfillment. • Built monitoring via a lightweight Vue.js dashboard for operational oversight. • Persisted and coordinated fulfillment data using PostgreSQL and Redis.