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feat: add Healthcare ML Pipeline project to portfolio
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<div class="tech-card" data-aos="fade-up" data-aos-delay="700">
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<h3 class="text-xl font-bold mb-4 text-[#64ffda]">🧬 Healthcare ML Training Pipeline</h3>
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<p class="text-[#8892b0] mb-4">
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MLOps pipeline for training healthcare AI models on RunPod serverless GPUs. Includes
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Drug-Drug Interaction classifier (176K samples), Adverse Drug Event detection, Medical Triage,
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and Symptom-to-Disease prediction. Bio_ClinicalBERT + S3 model storage.
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<div class="flex space-x-4">
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<a href="https://github.com/ghndrx/kubeflow-pipelines" class="text-[#64ffda] hover:text-white" target="_blank">
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<i class="fab fa-github"></i>
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