Backend
MongoDB Data Fetching API
A specialized backend application engineered alongside Mongoose object-modeling layers to orchestrate structured document ingestions. The API serves as an automated collector endpoint capable of managing raw information blocks parsed across diverse targets—including target digital commerce inventories like eBay listings, cataloged textbook parameters, video structures, embedded tables, and direct file links—transforming them cleanly into normalized object entries for rapid access.
Project overview
A backend data-routing infrastructure designed to extract, transform, and store structured document datasets directly into a NoSQL database pipeline. This project reflects my interest in combining practical implementation with clear user value, whether through interface design, backend structure, or research-driven experimentation.