Convolutional Neural Networks
Angular.js
HMIS Framework
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Developing and deploying an automated system using
Convolutional Neural networks and Vision Language Models to
accurately classify and analyze anomalies in DICOM slices
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Built an Angular-based frontend for a speech-to-text
recognition web application utilizing web sockets and
enhancing user engagement.
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Collaborating with cross-functional teams to reduce
inference time of various large language models and enhance
user experience and optimize overall platform performance.