GTZenda

Enterprise document intelligence pipeline that ingests procurement data from AI agents, classifies and normalizes documents using LLM processing, and pushes structured data into a government sales intelligence platform. Built on AWS with SQS-driven async processing and OpenAI integration.

Lead DevelopereRepublic LLCSeptember 2025 - Present6 months

About This Project

GTZenda is a multi-stage document intelligence pipeline designed to ingest high-volume procurement data from Mozenda AI scraping agents, store raw documents in S3, decompose batch deliveries into individual records, classify and normalize them using OpenAI, and push validated data into the Government Navigator platform. The architecture emphasizes reliability through SQS-based async processing, idempotent operations, and comprehensive observability.

Key Achievements

Designed a 5-stage document intelligence pipeline: ingress, batch decomposition, schema validation, LLM classification, and normalized data push to Navigator
Built SQS-driven async processing with dead-letter queues, idempotent operations, and automatic retry logic for reliable high-volume document handling
Integrated OpenAI for automated document classification, category extraction, and content summarization of procurement records
CloudFormation-based infrastructure-as-code with modular stacks for DNS, SSL/ALB, storage, intake queues, application, CI/CD pipeline, and monitoring
Vue 3 SPA frontend with Vuetify, TipTap rich text editing, FullCalendar integration, and Chart.js analytics dashboards
Microsoft SSO authentication with containerized deployment on Elastic Beanstalk

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