Document AI Product · 2021-Present
DocuLens
Founder-Built Products
AI document intelligence product for extraction, summarization, OCR, translation, redaction, and chat-over-documents workflows.
Document AIOCRData ExtractionRedactionAI Product
Architecture Responsibility
Responsible for technology architecture and hands-on delivery direction across system design, deployment, DevOps, cost, scale, reliability, and production readiness.
Outcome
Hands-on built DocuLens as a document intelligence product to help users work with unstructured documents through OCR, extraction, summarization, translation, redaction, and document chat capabilities.
Scale
Built as a hands-on AI product initiative for document-heavy business workflows.
Architecture
- Built document-processing workflows around OCR, extraction, summarization, translation, redaction, and conversational document interaction.
- Designed the product around practical document-heavy business workflows where users need faster understanding and safer handling of information.
- Focused on turning unstructured document inputs into usable structured outputs and summaries.
- Kept redaction and controlled document handling as important product concerns because document workflows often include sensitive information.
Lessons Learned
- Document AI quality depends on the full pipeline: ingestion, OCR, extraction, summarization, redaction, and user-facing interaction.
- Security and controlled handling need to be designed into document workflows early because business documents often contain sensitive data.
- The strongest product experience comes from combining extraction, summarization, and interaction into one workflow instead of separate utilities.