• Developed a DaVinci Prior Authorization Support application with Java, React, K8s and FHIR R4/STu3 creating a fast approval for medication and procedures based on gathered data
• Built a prototype a application with Ember.js, JsonAPI, Java and OCR Vendor to help nurses review incoming cases, and reduce the overall evaluation time.
• Built a new deployment process through Team Foundation Server, Docker and Azure Service Fabric allowing for standardization of the server setup and application deployment process between development, integration and production environments
• Developed a containerized version of our NLP pipeline to train, evaluate, and release models to production
• Developed a system using Apache Hadoop APIs to pull the latest NLP models and load into production, decreasing complexity and increasing reliability
• Designed and implemented a roadmap for better model result aggregation