About
I build data-driven applications: an environmental-reporting tool that checks odor complaints against live wind data before they’re filed, a quantile transformer for NFL projections with published interval coverage, and automation and decision-support systems around them. Everything on this site is self-initiated; none of it was built for a client or an employer.
Before this I spent five years at evo, most recently as the subject-matter expert on its technical product systems and the primary escalation point for complex customer and operational problems, training the team on tools and workflows I helped pilot. Earlier, at Objectif Lune, I designed automated data-processing workflows in SQL and XML for enterprise retail and distribution clients.
I have a B.A. in Environmental Science from the University of Denver, and I’m pursuing an M.S. in Artificial Intelligence at CU Boulder. Model evaluation and red-teaming are the direction I’m heading.
Résumé (PDF) · updated Oct 2026 · Denver, CO
Experience
Independent Developer — AI & Data Applications
Self-employed · Denver
Feb 2025–present
Designs, builds, and deploys data-driven applications spanning environmental reporting, machine learning, workflow automation, and decision-support systems; integrates external APIs, databases, automated data pipelines, models, and web interfaces.
Senior Sales Consultant & Training Lead
evo · Denver
Oct 2019–Feb 2025
Subject-matter expert on technical product systems and primary escalation point for complex customer and operational problems; reviewed and implemented technical documentation and SOPs; trained 15+ team members; piloted new tools and workflows; coordinated with brand partners and internal stakeholders.
Technical Operations Analyst
Objectif Lune · Remote
Jul 2020–Jan 2021
Designed automated data-processing workflows in SQL and XML for enterprise retail and distribution clients including Target and CVS; built systems to parse fulfillment data and automate shipping-label generation; technical liaison between clients and engineering.
Python, R, SQL, JavaScript/TypeScript · PyTorch, XGBoost, scikit-learn · PostgreSQL/PostGIS, SQLite, Supabase, GitHub Actions, Vercel · GIS, remote sensing, NWS/NOAA data.
Education
M.S., Artificial Intelligence
University of Colorado Boulder
Expected May 2028
Seven courses completed (7 credits) across probability and statistics, supervised learning, unsupervised learning, deep learning, and AI ethics.
B.A., Environmental Science, Minor in Sustainability
University of Denver
Dec 2019
Completed coursework
Probability and statistics
Probability foundations, discrete-time Markov chains and Monte Carlo methods, and statistical estimation.
APPA 5001 · 5002 · 5003 — 3 credits
Machine learning: theory and practice
Supervised learning, unsupervised algorithms, and deep learning, with hands-on work in Python.
CSCA 5622 · 5632 · 5642 — 3 credits
Current Issues in Ethics and AI
Ethical questions raised by current AI systems, from the AI Ethics specialization.
CSCA 5204 — 1 credit
Build history
70 commits total · 2 active weeks · peak 66 in week 2025-50
19 commits total · 1 active week · peak 19 in week 2025-51
100 commits total · 11 active weeks · peak 28 in week 2026-09
244 commits total · 9 active weeks · peak 45 in week 2026-16
5 commits total · 3 active weeks · peak 2 in week 2026-17
203 commits total · 4 active weeks · peak 136 in week 2026-25
493 commits total · 10 active weeks · peak 86 in week 2026-32
154 commits total · 3 active weeks · peak 88 in week 2026-34
Repository figures generated 2026-09-18.
Record
| When | What | Status |
|---|---|---|
| Ongoing | M.S., Artificial Intelligence — CU Boulder | in progress |
| Aug 2026 | Birdie | in development |
| Jul 2026 | Megatron | in development |
| Jun 2026 | York St Vector | deployed |
| Apr 2026 | Tesseract | complete |
| Mar 2026 | all:Lo | deployed |
| Feb 2026 | Pyrra | deployed |
| Dec 2025 | Blackjack Trainer | complete |
| Dec 2025 | Silent Auction | complete |
| Dec 2019 | B.A., Environmental Science |