Patrick Seelemeyer

Led a team of 6 software engineers to develop an AI-driven healthcare platform enabling automated diagnostics and real-time ECG data analysis. Designed and built a robust Revenue Cycle Management (RCM) system with HL7 and FHIR APIs for interoperable, HIPAA-compliant data handling. Migrated a legacy monolithic application to a scalable microservices architecture, implementing Strangler, Database-per-Service, API Gateway, Saga, and CQRS for efficient service communication and transaction management. Architected a C# 9/.NET 6 microservices ecosystem for hotel reservations, payments, and loyalty programs with 99.99% uptime across 10+ services. Defined OpenAPI contracts and auto-generated client SDKs, containerized services with Docker, and orchestrated deployments via Kubernetes. Optimized PostgreSQL schemas for high-volume workloads and implemented Redis caching to accelerate read-heavy endpoints. Built Kafka pipelines for real-time availability updates and audit logs processing millions

Led end-to-end development of a compliant digital healthcare platform supporting remote diagnosis, prescription fulfillment, and medication delivery; built a Django-based backend with DRF and PostgreSQL on AWS; integrated machine learning for prescription eligibility checks; developed a real-time ECG processor with TensorFlow Lite for AI-augmented diagnostics; migrated from a monolith to Python microservices; implemented a Saleor-based pharmacy backend with Stripe for payments; integrated HL7 and FHIR APIs; implemented OAuth2/JWT RBAC; containerized with Docker and orchestrated on AWS EKS; built a real-time ERP/CRM connector using webhooks; defined OpenAPI-based APIs and generated TypeScript SDKs; optimized PostgreSQL schemas; enhanced observability with Sentry and Datadog; collaborated with data scientists for patient segmentation and Braze engagement flows.

Led a team of 6 engineers in developing an AI-driven healthcare platform automating diagnostics and prescriptions through real-time ECG data analysis. Designed a Revenue Cycle Management system integrating HL7 and FHIR APIs for HIPAA-compliant healthcare billing and claim processing. Migrated legacy monoliths to scalable microservices architectures employing design patterns like Strangler, Saga, and CQRS. Developed high-performance microservices using Node.js (NestJS) and Python (FastAPI), implementing RabbitMQ for inter-service messaging. Created secure authentication microservices with OIDC, SSO, JWT, 2FA deployed on AWS Lambda. Built scalable WebSocket servers with Redis Pub/Sub to handle concurrent connections. Developed React/Next.js frontend infrastructures with SSR, SSG, and ISR techniques for optimal SEO and performance. Implemented unit and integration testing maintaining over 80% coverage. Deployed cloud infrastructure using Terraform, Docker, Kubernetes, and AWS CDK. Mentore