Meet the author
Sylvia Naples is the Technical Lead on Detect, Ocrolus’ fraud detection solution. The team leverages Ocrolus’ expansive collection of financial documents and advanced ML models to offer contextualized file tampering detection. Before focusing on fraud, Sylvia was a Senior Machine Learning Engineer at Ocrolus. She worked on integrating language models like BERT and BERT NER, developed a classification model that works on mixed documents, and significantly improved the accuracy of Ocrolus’ classification and extraction models.
Before Ocrolus, she worked as a Machine Learning Engineer to automate online eye exams. Formerly a mathematician, Sylvia loves finding creative and elegant solutions to challenging problems and passing on that passion to the next generation. She has also worked as a mathematics and programming tutor for over 15 years.
Articles by author
Revolutionizing fraud detection: How Ocrolus goes beyond automated document processing
The digitization of documents has transformed how businesses operate, particularly within the financial sector, where accuracy, speed, and efficiency are paramount. Automated document processing solutions like Ocrolus enable lenders to accelerate reviews and scale on demand. However, in an increasingly digital environment, fraud has also accelerated, leading to significant losses if undetected, making accurate fraud detection an essential component of automated document processing. Techniques such as using online template generators to create artificial documents and tampering with authentic documents to misrepresent information have become increasingly prevalent. At Ocrolus, our goal is to enable lenders to make decisions quickly and confidently…
Harnessing the Power of Machine Learning to Detect Fraud
Machine learning automation is emerging as a powerful risk management tool that mortgage lenders and fintechs can use to identify fraud and improve the accuracy of lending decisions. I’m fortunate to be on the leading edge of this transformation in the financial services sector. Automated fraud detection specifically is an exciting and impactful field, and Ocrolus has the data, infrastructure, and engineering talent to be a leader in the space. Over the past year, I have led a cross-functional team of engineers working on Detect, a new fraud detection solution we developed to help detect financial fraud on bank statements,…
