At Intelligent Medical Objects, I build and operate healthcare data normalization APIs that help enterprise customers standardize proprietary data against industry terminology standards.
I led recovery of more than 1 million affected term requests through a Kinesis-based replay solution, restoring data with minimal integrity risk and no additional infrastructure footprint. I also improved search relevance for a production Go API by prioritizing sex- and age-specific results and validating latency through load testing.
I've strengthened observability and infrastructure across AWS, including a logging pipeline overhaul that reduced CloudWatch noise and costs, plus error reclassification that improved production monitoring accuracy. I work across terminology standards including UMLS, USCDI, NDC, CVX, and RxNorm.
I grew from database migration contributor to the team's highest-volume code contributor and a cross-team technical resource. Earlier, I delivered internal loyalty-platform features with Infosys and United Airlines using .NET, ASP.NET, C#, Angular, TypeScript, and SQL.
