What is AMA?
The American Medical Association is the largest association of physicians in the United States. At its core, the credentialing platform I worked on is responsible for verifying that medical professionals are who they say they are. Validating licenses, certifications, and credentials across multiple authoritative data sources. Given the high-stakes nature of healthcare, this system needs to be accurate, fast, and resilient at a massive scale: over 500K verification calls and 135M+ record updates processed annually.
What I Worked On
I joined as a backend engineer building and maintaining the microservices that power the credentialing pipeline. A big part of the work involved designing asynchronous processing using AWS SQS to reliably handle bursty verification loads without dropping requests. I also provisioned infrastructure with Terraform when adding new APIs/services, and tuned database queries to reduce latency on heavily-used endpoints.
Stack
- Python & Java (microservices)
- AWS SQS (async message processing)
- Docker & Terraform (containerization & infra as code)
- CI/CD pipelines
- AWS (cloud infrastructure)