About

I build the enterprise software that quiet, load-bearing business processes run on. For nearly five years I led development of the Oracle APEX and PL/SQL applications behind a national supplemental-health-insurance underwriting pipeline, and along the way introduced the source control and automated testing the team had been working without and co-designed its first CI/CD pipeline.

Before enterprise software, I spent several years in scientific-computing and machine-learning research. At UMBC, under an NSF CyberTraining grant, I built a K-Nearest-Neighbors pipeline on a high-performance computing cluster to collocate satellite cloud observations with sea-ice data. At NASA Goddard, I worked on satellite aerosol remote sensing and wrote two Python tools for the MODIS Dark Target product that were filed as NASA New Technology Reports — one of them eliminating a proprietary licensing dependency from the processing pipeline. It's a genuine ML and scientific-computing foundation that predates the current AI wave rather than riding it.

Today I work fully remote, bringing that span — from satellite data pipelines to production LLM-to-database integrations and self-hosted infrastructure — to Oracle, health-IT, and developer-tooling problems wherever the team happens to be.