David Cotton

I am a Staff Software Engineer with a track record of delivering AI-driven healthcare platforms and scalable cloud-native systems. I led the development of products that automate prior authorization and medical necessity reviews using Java, Python, Go and Node.js to streamline provider workflows and improve patient care.

I architect high-performance data pipelines with Python, Kafka and Snowflake on AWS, processing 3M+ clinical and claims records monthly to enable near-real-time population health analytics. I engineered AI-powered prior authorization automation using TensorFlow and Go-based microservices to reduce review time and align with industry standards.

I build responsive provider and patient portals with React and Next.js and optimize backend performance using PostgreSQL, MongoDB and Redis. I also design robust DevOps and observability pipelines with Terraform, GitHub Actions, Docker, Kubernetes, Datadog and CloudWatch to ensure reliability, auditability and fast deployment cycles.

Earlier, I developed high-throughput logistics platforms and data pipelines at scale, processing 17M+ daily shipment records and improving delivery efficiency through route optimization and real-time tracking. I collaborate closely with clinicians, product managers and data scientists, and I bring a practical focus on measurable outcomes and cross-functional communication.