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We seek a skilled data extraction expert to develop a solution for processing thousands of handwritten PDF documents. The files contain unstructured handwritten text and we require a software program to intelligently capture the written contents and rename each file accordingly.

The project entails optical character recognition of multi-page PDFs containing handwritten entries. The system must be trained to recognize a wide variety of handwriting styles and intricacies. Once the written text is converted to machine-readable characters, the program should automatically rename each PDF file using the extracted text. For example, a file titled 'Document 1' would become 'John Doe DOB 01-01-1980' if that data was captured from within.

Data protection and security is paramount as the documents contain sensitive personal information. The solution developed must ensure all processed files and extracted data are kept strictly confidential without any possibility of data leakage. Complete anonymization or encryption of names, dates and other identifiers is also required.

We seek a passionate problem-solver familiar with machine learning and document processing APIs to help design and deploy this automated workflow. Creativity in tackling the challenges of diverse handwriting recognition is greatly valued. If you have experience with similar data extraction or computer vision projects involving documents, we welcome your proposal.