•Architected an AI-powered document classification system with Python/Django backend; optimized AI prompts using few-shot learning to improve classification accuracy and efficiency, and built a React-based UI, reducing the number of orders needing manual review by 35%.
•Developed an AWS serverless ecosystem (Lambda, ECS) with Terraform IaC for order processing,
implementing M2M authentication for communication with the internal API, and a comprehensive CloudWatch monitoring to achieve 99.9% uptime across 2,000+ monthly orders.
•Introduced an enhanced match detection algorithm by utilizing phonetic and fuzzy matching across
multiple fields that reduced duplicate patient records by over 20% and minimized related order delays.