QVine Corporation
Daniel Le is a skilled software engineer with experience at QVine Corporation and Fannie Mae, where expertise in multifamily technology applications was developed. Previously, Daniel served as a teaching assistant for a Java-based software development course at the University of Virginia and contributed to various projects as an engineering intern at Ibeos, focusing on facial recognition programming, software-defined radio applications, and environmental testing of satellite circuit boards. Daniel holds a Bachelor's degree in Computer Science and a Bachelor's degree in Cognitive Science from the University of Virginia.
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QVine Corporation
QVine is a leading provider of Agile software development, cloud computing, big data, and other Information Technology (IT) services in the National Security and Defense sectors. We provide turn-key, fully supported solutions configured for our customer’s specific requirements. QVine has the experience and knowledge to fully support the complete product development lifecycle, providing the following services: Business Automation Business Intelligence Artificial Intelligence & Machine Learning Content Management Integrated Data Management Cross Domain Solutions Software and System Architectural Design Security Architecture Systems Engineering