Production RAG & Test Automation Platform

Production AI automation work for a B2B SaaS client under NDA. Built a LangGraph-based engine that ingests PDF specifications and Git repositories into vector search, then generates structured test suites from tickets.

Manual QA scripting and searching large technical document sets slowed release cycles.

LangGraph + Claude pipeline for document and repo ingestion

Vector search over specs and code context

Automated test suite generation from structured tickets

NestJS API + React dashboard for internal teams

Deployed on AWS ECS with Redis and Milvus

Significantly reduced manual QA scripting effort for the client's engineering team.

NestJS · React · LangGraph · Claude · Milvus · Redis · AWS ECS

Client name, screenshots, and repositories are confidential (NDA). This case study describes capabilities only — no proprietary assets shown.