Document Processing, Management & AI-Assisted Drafting

The challenge

Useful document software needs more than extraction or generation alone. The engineering work spans parsing source material, making it useful for drafting, and building interfaces through which people can upload, organize, share, and review documents.

The engineering approach

• Build Python document-processing workflows with Flask, PDF/document parsing tools, LangChain, and ChromaDB dependencies.
• Implement model-selection, summary-handling, evaluation-criteria extraction, and proposal-drafting behavior.
• Develop Next.js/React management interfaces for user-permission assignment, permission-aware navigation, and document-sharing state.
• Refine upload experiences, search, API integration, and application state across the document-management work.

The system, at a glance

1. 01Document upload and management
2. 02Parsing and content extraction
3. 03Summaries and evaluation criteria
4. 04AI-assisted draft preparation
5. 05Document review and sharing

What this work connects

Consultancy work spanning related implementations across the document lifecycle: processing source material, supporting AI-assisted drafting, and developing the interfaces for document management, review, and sharing.

Selected contributions, not a claim of sole authorship. Client-specific configurations and operational data are intentionally excluded.