Machine Learning Intern

I designed and built a full-stack AI-driven system that automates the extraction of structured data from unstructured clinical PDFs. I developed a hybrid OCR pipeline using EasyOCR and PyMuPDF, combined with custom regex and lightweight NLP models, to ensure 100% data field completion. I engineered custom SpaCy NER models to accurately capture patient demographics, accident details, and provider information across varied medical document layouts. Additionally, I implemented realtime report generation workflows, converting structured data into professionally formatted medical chronology PDFs. My solution improved extraction accuracy by 35% compared to standard libraries, enhanced processing speeds for large datasets, and enforced HIPAA-aligned practices for data fidelity.

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