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Led research and engineering for an AI system assisting hemodialysis teams with anemia management, pairing OCR pipelines with role-aware dashboards.

20+

Biomarkers

90%

Time Saved

99%

OCR Accuracy

  • Architected a robust Vision AI pipeline using Google Gemini to extract context-aware structured data from medical tables with 85-95% accuracy.
  • Engineered a high-resilience batch engine with a custom API Key Rotation & Failover system to handle high-volume processing and rate-limit bypass.
  • Integrated a longitudinal analytics dashboard that tracks 20+ biomarkers over time, helping clinicians identify health patterns 90% faster.
Python Django Next.js React TypeScript Google Gemini AI OCR REST API SQLite
LabLens AI – Intelligent Medical Data Extraction preview

An AI-powered clinical decision support system designed to automate anemia management for hemodialysis patients.

94%

OCR accuracy

1090

Patient visits digitized

0.6

Hb MAE

  • Directed a multi-member team, owning experimentation, model selection, and delivery.
  • Combined OCR and ML inference to extract lab metrics with reduced manual errors.
  • Built secure experiences for doctors, nurses, and patients plus a Flutter companion app.
Python TensorFlow Django Flutter OCR
AnemoCare — AI Anemia Management preview