Model Builder, Assumption Breaker,
Never satisfied with dashboards, half-truths, or process without production,
Last to end a conversation, Last to text back,
Patrol Sleepwalker and God Pin Maker,
Husband and father of three boys.
Former cavalry scout turned military data scientist and ML engineer. Educated at USMA (Applied Mathematics, Military History) and Carnegie Mellon’s MISM-BIDA.
I focus on probabilistic modeling, analytics, and decision-support systems that remain useful when data is messy and stakes are high. Most of my work lives at the intersection of uncertainty, logistics, and real operational constraints.
- HES_Reevaluated — Geospatial analysis of historical Vietnam-era military data, integrating messy archival sources with ArcGIS visualizations
- NETCOM_Capstone_S22 — Anomaly-detection web app using dynamic ensembles and SHAP, supporting real-world cybersecurity operations
Python · R · TypeScript
Probabilistic ML · Decision Support · LLM Integration
Flask / FastAPI · SHAP · Docker · AWS