Drive-Like Document Management Platform
A self-hosted Drive-like platform with AI-powered document classification and a full-stack interface.
Timeline
Built iteratively across storage, permissioning, frontend UX, and AI classification integration.
Role & Scope
Owned full-stack development: backend APIs, storage abstractions, frontend file management UI, and AI integration points.
Team Setup
Individual project with focused feature iterations.
Context
Problem: Teams needed a private document workspace with semantic search and classification, without relying on public cloud storage.
Solution: Built a full-stack document management platform with upload, storage, metadata management, and AI classification integration for automatic document tagging and retrieval.
Impact: Delivered a private document workspace combining standard Drive-like workflows with downstream AI classification hooks.
Implementation Details
Architecture
Full-stack app with file storage backend, metadata indexing, document classification pipeline, and responsive management interface.
Data & Evaluation
Validated classification accuracy across document types and measured retrieval relevance for semantic search.
Production & Ops
Deployed privately with standard web-stack production hardening and backup considerations.
Lessons Learned
Document management UX is only as good as metadata fidelity and classification reliability.
Links
Last verified: September 1, 2026
Public Evidence
Last verified: September 1, 2026
This case study summarizes production work delivered under private repositories and confidentiality constraints. Public artifacts are intentionally omitted while keeping the implementation narrative transparent.