About

I build the full-stack software that quiet, load-bearing business processes run on: Python and SQL on the back end, Oracle APEX and JavaScript on the front. My career spans roughly eight years across NASA research, defense systems engineering, and enterprise development. Most recently, I spent nearly five years as the sole developer of the field-quoting application and lead on the contract-generation app behind a national supplemental-health-insurance underwriting pipeline, where I 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 eliminated a proprietary licensing dependency from the processing pipeline. That ML and scientific-computing foundation predates the current AI wave.

Today I work fully remote, bringing that span (from satellite data pipelines to production LLM-to-database integrations and self-hosted infrastructure) to full-stack, backend, data, and Oracle problems wherever the team happens to be.