My work has moved across countries and disciplines, but the throughline has been steady: systems that must work despite real-world friction. Whether the constraint was water, regulation, data integrity, or computational scale, I build for reliability under constraint.
In addition to majoring in chemistry and minoring in biology, I studied poverty economics and looked at how pricing, education, and policy choices affected people in Macon. I became focused on a practical question: which interventions actually hold up at scale?
Secured grant funding and implemented drip irrigation at an agricultural technical school previously dependent on rain-fed crops, restoring reliable yields and making on-campus food production viable under local constraints.
Built Excel- and Bloomberg API-based monitoring systems that supported FX and bond market expansion across Africa and the Middle East. Developed tools regional teams used to track sovereign bond activity, including long-term monitoring of the Ghanaian bond market, in politically sensitive and tightly regulated markets.
Built analytics infrastructure for a 121-person department. Led an anomaly detection project correcting 2.1M inconsistencies across 18TB of data. This reduced reporting risk and help desk requests.
Migrated core business logic from Looker PDTs into dbt, consolidating 23 production metrics for a 146-person organization during a $125M Series E.
Completed a two-year Product Design & Manufacturing certificate while working full-time. Built hands-on prototyping discipline across CAD and iterative physical builds, shifting from analyzing systems to making and shipping tangible products. For my capstone, I studied embodied AI and explored how physical interfaces can give users more direct control over software systems.
In 2024, I shifted to AI-augmented engineering. I completed the Udacity Data Science Nanodegree and have since invested 3,000+ hours building production ML pipelines, economic models, and geospatial applications.