I design and build end-to-end AI systems for healthcare — spanning data pipelines, model development, evaluation, and deployment. My work focuses on translating clinical and wellness data into reliable, actionable diagnostic intelligence.
I specialize in:
- Diagnostic support systems (Autism screening, Alzheimer’s MRI classification, medical imaging pipelines)
- OCR + NLP pipelines for automated structured data extraction
- AI for nutrition and personalised health insights
- Full-stack ML deployments (Streamlit, FastAPI, Flask)
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Python · JavaScript HTML · CSS · Streamlit |
Scikit-learn · TensorFlow · PyTorch |
FastAPI · Flask Git · Docker · Jupyter · VS Code |
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End-to-end ML pipeline with SHAP explainability and Streamlit deployment. |
ML-powered personalised nutrition insights with macro analysis and an interactive UI. |
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CNN-based model for early-stage MRI diagnostic classification. |
OCR + NLP pipeline for accurate structured data extraction from unstructured documents. |
Always Learning.Always Building.