Eduarda Chagas is a Senior AI/GenAI Researcher at Dell Technologies, leading innovations in data processing and frameworks based on large language models. They mentor a global, cross-functional team focused on advancing LLM-based systems from prototypes to enterprise-scale deployments. As a PhD candidate in Computer Science at UFMG, their research investigates the intersection of Federated Learning, Multi-Agent Systems, and Information Theory. Eduarda's professional background includes roles in machine learning engineering, data science, and temporal data analysis, with notable achievements such as being recognized as Best Master’s Dissertation (CSBC 2022) and as a Top Patent Producer at Dell Technologies. Driven by the challenge of building scalable, trustworthy AI systems, they design architectures that promote collaboration among autonomous agents within responsible AI principles.
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