About

Senior Software Engineer · Minnesota

Software engineer with 11+ years building systems where failures have real consequences: FDA-regulated implants delivering electrical current to patients' brains, structured loan portfolios worth billions, and research infrastructure for experimental cancer data.

I learn unfamiliar domains quickly, find where teams are stuck, and automate or eliminate the pain points to accelerate output. I work across the full lifecycle — discovery, design, implementation, testing, deployment, and support — and try to raise team standards along the way, not just ship my own code. I care about code that can be read, maintained, reviewed, and safely evolved by both humans and AI-assisted tooling. If you're solving hard engineering problems, I'd like to hear about them.

U. of Minnesota
B.S. Computer ScienceSoftware & Data Systems · 2012–2014
Bethany Lutheran
B.A. Physical Sciences2009–2014

Netrias

Senior Software Engineer at Netrias, a biomedical AI company, building data harmonization and research infrastructure for ARPA-H's Biomedical Data Fabric program. The work centers on standardizing cancer research metadata so that clinical cohorts from different institutions can be pooled and compared.

Free-text cancer metadata resolving to canonical CDEs from NCIt, caDSR, and GDC — the ARPA-H BDF harmonization step that lets cohorts pool across institutions

ZAIS Group

Software Engineer at ZAIS Group, a structured finance firm managing $4.6B in CLO assets. Built data pipelines and search tools for the Data Analytics team, reconciling inconsistent vendor feeds into reliable loan-level metrics.

Multiple vendors, one truth — reconciling conflicting data into a golden record with full provenance

Medtronic

Software Engineer at Medtronic for seven years, building FDA-regulated Android therapy control software for deep brain stimulation (DBS) implants. Deep brain stimulation is an FDA-approved therapy for Parkinson's disease, essential tremor, dystonia, and epilepsy that works by delivering targeted electrical pulses to precise brain structures. The Percept PC system—FDA-cleared in 2020—was the first to sense and record brain signals during therapy, enabling adaptive, personalized treatment. It has since been recognized as a TIME Best Invention and validated in JAMA Neurology.