DocuMind Enterprise — AI Document Intelligence & Workflow Automation

DocuMind Enterprise | AI Document Intelligence Platform

Problem: Organizations spend significant time searching documents, extracting information, reviewing contracts, and answering repetitive internal questions.

Proposed Solution: Build a secure document intelligence system that processes uploaded files, indexes their content, and provides grounded answers with references to the original sources.

Core Features:

• PDF and DOCX ingestion with text extraction and metadata indexing.
• Background document-processing jobs with retry and failure handling.
• Retrieval-Augmented Generation (RAG) with chunking, embeddings, and semantic search.
• AI-generated answers with document citations and source references.
• Document permissions and tenant-level data isolation.
• Workflow approvals, processing status, and audit trails.
• Evaluation tests for retrieval quality, answer relevance, and hallucination reduction.
• Secure API integration with an LLM provider.

Technology Stack: Next.js, React, TypeScript, C#, ASP.NET Core Web API, Entity Framework Core, PostgreSQL with pgvector, Redis, background workers, Docker, GitHub Actions, LLM APIs.

Engineering Focus: RAG pipelines, vector search, background processing, authorization, secure multi-tenancy, and AI evaluation.

Role: Full-Stack AI Software Engineer | Independent Project