At S&P Global Market Intelligence, I work on ClariFI Phoenix, a distributed financial data and analytics platform. I re-architected OpenAPI delivery so specs are validated at startup and repeat requests can return a 304 without re-serializing the document.
I also designed and shipped user-facing Data Catalog read APIs and authored financial return functions for the transform engine, including rolling and expanding windows. My work includes strengthening date handling and other correctness at the platform’s edges, backed by JUnit tests and Bruno API regression collections.
On Foreseer-AI, I enhanced NLP extraction from unstructured financial documents and owned ETL pre-processing that normalizes source documents into XML. I integrated ActiveMQ for asynchronous microservice delivery, used DataDog and Grafana traces to target database improvements, and automated delivery pipelines with Azure DevOps, Docker, and Kubernetes.
Before S&P Global Market Intelligence, I contributed to healthcare budgeting features at Covalience and built Java APIs and webMethods integrations for a government licensing platform at Innovatechs Technology Solutions. My MBA in Finance helps me work directly with financial-data concepts and calculations.
