Healthcare AI fails silently when infrastructure fails and in healthcare, failure is never an option. As an engineer working in this space, I’ve learned that reliability, security, and scalability aren’t just technical goals they directly impact trust, workflows, and patient care. That’s why strong cloud foundations matter more than ever as AI becomes part of everyday healthcare operations.

At RxGPT Health, I work on building the cloud infrastructure that quietly powers our AI-driven healthcare solutions. My role sits at the intersection of engineering and responsibly designing systems that are meant to perform consistently, securely, and at scale, without adding complexity for the clinicians who rely on them.

I work extensively with AWS services including EC2, S3, IAM, VPC, RDS, Route 53, EKS, ECS, and Elastic Beanstalk, focusing on creating platforms that are resilient by design. From managing containerized workloads and ensuring secure access controls, to maintaining reliable data and network architectures, my goal is simple: make sure the system just works every time.

What motivates me most is understanding the real-world impact of this work. In healthcare, infrastructure isn’t just backend engineering it’s the foundation of trust. When systems run smoothly, clinicians can focus less on administrative friction and more on patient care.

RxGPT Health is built on the belief that AI should simplify healthcare, not complicate it. I’m proud to be part of a team that values thoughtful engineering and meaningful impact.

If you’re an engineer who wants to build technology that truly matters and work on problems with real-world significance, RxGPT Health is a place where your work will count.