If you only have a minute, these projects represent the breadth of my work: published research in multimodal AI and unstructured data systems, applied research in explainable AI, deep learning time-series forecasting for business planning, strategic systems thinking through game theory, practical marketing analytics, and a Retrieval-Augmented Generation (RAG) system for grounded LLM applications.
About Me
I’m a data scientist focused on extracting insight from complex datasets and building predictive models that solve real-world problems. I have experience designing AI models for both research and practical applications, with a particular interest in explainable, multimodal, and trustworthy machine learning. I’m also an avid student of economic game theory and how strategic decision-making shapes real-world systems, from markets to intelligent agents.
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