Apryse
Syed Umair Aziz is a skilled Deep Learning Developer at Apryse since November 2021, with prior experience as a Research Technician and Data Scientist at the University of Saskatchewan, focusing on data analytics and machine learning pipelines. Previously, Syed served as a Senior Software Engineer at Techlogix, delivering a regulatory compliance solution for financial institutions that involved behavior detection and fraud recognition. Syed holds a Master’s degree in Computer Science from the University of Saskatchewan and a Bachelor's degree in Computer Science from the National University of Computer and Emerging Sciences.
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Apryse
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Apryse, previously known as PDFTron, takes document solutions to the next level, making work better and life simpler. As a global leader in document processing technology, Apryse gives developers, enterprise customers and small businesses the tools they need to reach their document goals faster and easier. Our product portfolio includesApryse SDK, Fluent, iText and XODO. Apryse technology works with all major platforms and a wide variety of unique file types.