video1.0<iframe src="https://www.loom.com/embed/6c1a8bb072b6423098c6ebd5c28e6dec" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/6c1a8bb072b6423098c6ebd5c28e6dec-dd7d0581c4c4c351.gif300.835Hey everyone, GP here! In this video, I'm sharing my work as a privacy engineer focused on building a system to detect sensitive information in documents, like credit card names. I discuss the lack of features for creating custom machine learning entities, specifically neuro entities for named entity recognition. I also demonstrate a tool for adding training examples and generating synthetic data to improve our model. I would love to get your feedback on this approach, especially if you have ideas on how to make it more business-oriented.