About
I started my AI journey at 17 by developing a 3+ architecture deep learning model for early medical diagnosis using raw ECG signals and demographic data, achieving high accuracy with limited datasets. After publishing my research on Zenodo at 18, I pivoted my focus to Large Language Models. My background in complex classification and architecture design led me to build Xalvion. Iām applying the same 'decision layer' logic from medical AI to help users navigate the fragmented LLM landscape. Two preprints published, one goal: making AI smarter and more accessible.
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