I build practical systems for messy, real-world problems.
I’m a data engineer who likes working on practical problems — the kind that sit between messy real-world requirements and systems that actually have to run in production.
Most of my work focuses on building reliable data platforms for healthcare — from core infrastructure in Snowflake to reporting systems and applied ML workflows used in day-to-day operations.
Outside of work, I spend most of my time golfing, following the NFL and NBA, and exercising. I’m drawn to things that are structured, consistent, and performance-driven.
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NeuroFlow — Data Engineer
Lead development of scalable healthcare data systems across infrastructure, modeling, and delivery.
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Drexel University — M.S. Data Science
Expanded technical depth across applied ML, NLP, recommender systems, and experimentation.
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University of Tennessee — B.S. Business Analytics
Built a strong foundation blending business context with technical execution.
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University of Delaware — Engineering
Early exposure to CS sparked interest in software and data.