Carlos Martin has a diverse background in software development and research, with experience spanning several prestigious institutions. As a Research Intern at Wolfram, Carlos developed educational software, while at Appazur Solutions Inc., Carlos created cross-platform mobile applications. Significant research contributions include exploring optical computing at Columbia University Lightwave Research Lab and developing reinforcement learning algorithms at Columbia University Robotics Lab. Currently, Carlos is a Student Researcher at Google, focusing on model-free preference elicitation algorithms for recommender systems. Carlos has also gained analytical experience at Goldman Sachs and a strong academic foundation from Carnegie Mellon University, where Carlos is pursuing a PhD in Artificial Intelligence after earning an MS in Computer Science and a Bachelor's in Computer Science and Applied Mathematics.
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