I build machine learning systems and the infrastructure they run on.
M.S. in computer science, AI and machine learning. Five years in the U.S. Air Force building data systems and controlling access to sensitive ones.
Available for interviews now
Live wafer defect model
AI sounds complicated. This one’s smaller than a photo from your phone, and it runs right in your browser. Draw on the wafer and watch what it sees.
The model sees
Every class is a mix of these eight patterns. The ones it found are lit, and colored on the wafer where it found them.
- Center
- Donut
- Edge-loc
- Edge-ring
- Loc
- Near-full
- Scratch
- Random
Next closest
About this model
Runs on your device. Nothing you draw leaves your browser.
Selected work
-
97.6%
on defect types it never trained on
Wafer defect detection
A few-shot model that recognizes mixed defect patterns on wafer maps from five examples each. It runs live above.
-
5
Terraform phases
Atlas multi-cloud rebuild
A hand-built AWS and Azure deployment, rebuilt as code while the original kept running.
-
8,000
hours a year given back
Air Force data and automation
Power BI over 13 data sources and Power Automate workflows that cut missed training sessions by 97%.
Currently
- Oct 2026Finished an M.S. in Computer Science, specializing in AI and machine learning.
- Sep 2026Passed AWS Certified Machine Learning Engineer, Associate.