What was your role in the document audit project?

In the document audit project, my role involved developing and implementing machine learning models for automatic recognition and classification of documents. I was responsible for data collection and preparation, selecting neural network architectures, training, and optimizing models.

I also integrated ML modules into the existing system, ensuring scalability and stability. I collaborated with the analytics team to clarify requirements and with developers to implement the results into the product.

Additionally, I participated in building pipelines for automatic auditing, including error handling and quality control of recognition, which significantly improved the efficiency and accuracy of the audit.