Maximus
Jordan Axelrod is a Senior Lead Data Scientist at Maximus, where notable contributions include the development of an NLP and CV pipeline for FedNSA dispute resolution, resulting in $30M annual value. Previously, as a Taliesan Memorial Intern at The Cadmus Group, Jordan led projects integrating AI into decision-making processes, particularly in predictive maintenance for renewable energy. Experience as a Research Assistant at Duke University involved creating the HopfieldFormer and reinforcement learning chatbot interface to enhance user memory in Hopfield Networks. Earlier roles included analytical consulting at Roux, an Economic Research Intern position at Roux Associates, and consulting work for Wheelhouse Group, alongside internships at Cato Institute and ATCS, P.L.C. Jordan holds a Master of Science in Economics and Computation from Duke University.
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Maximus
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Maximus enables citizens around the globe to successfully engage with their governments at all levels and across a variety of programs by delivering innovative business process management and technology solutions that contribute to improved outcomes for citizens and higher levels of productivity, accuracy, accountability, and efficiency of government-sponsored programs.