New York City Metropolitan Area
• Designed and implemented a high-speed document aggregation pipeline in Django using Celery for parallelism, retrieving and de-duplicating ∼5,000 patient records from Carequality, CommonWell, and QHINs within minutes.
• Developed custom CCDA document parsers compliant with HIPAA and HL7 standards to extract critical clinical data, enabling seamless integration into large language models (LLMs) for advanced insights.
• Engineered a secure, HIPAA-compliant EHR insight solution using Next.js 14, offering healthcare providers access to patient records, vitals, chronic conditions, and address HEDIS measures via an intuitive dashboard.
• Built a Chrome extension for seamless EHR integration, allowing healthcare personnel to access the web-based solution directly within third-party EHR applications, enhancing usability without workflow disruption.
• Deployed the end-to-end solution on Azure Cloud, utilizing Azure Kubernetes Services (AKS), PostgreSQL, Azure Storage, Azure Container Instances, and Cloudflare to ensure scalability, performance, and security.
• Optimized system security by integrating HIPAA-compliant practices, including secure data storage, encrypted communication with TLS authentication, along with DDoS mitigation.
