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Master's student major in AI, architecting end-to-end systems. Aim to build impactful agents by bridging LLMs, RAG, & KGs.
A neuro-symbolic AI safety net that decouples perception from reasoning, using multi-agent auditing to verify predictions and prevent misdiagnosis.
Unlocking the AI 'black box' in neuroimaging. Our multi-agent system uses dynamic layer selection and a knowledge graph to deliver semantically rich explanations for AD classification.