About

I am an inquisitive and energetic team leader who enjoys deep dives into data and real-world problems, with experience taking projects from inception all the way to commercial deployment.

Coming from a startup background, I ended up with a deliberately versatile set of skills — I can come in and develop on Android while also building the machine learning models that power the app. At the core I am an applied engineer who loves to build and tinker.

That started at the University of Central Florida, where I did my Ph.D. at the Center for Research in Computer Vision under Mubarak Shah, working on face recognition at a time when the field was moving from hand-designed features to learned ones. The dissertation was about faces in the wild — still imagery and video, at a scale where most of the people you see are not in your gallery at all.

Since then the work has stayed close to the same shape: take a research question, find out whether it survives contact with real data, and get the result onto hardware someone actually uses. That has meant facial analytics in cars at Sighthound, exercise recognition on phones at Samsung Next and Peloton, and most recently generating the training data that did not exist yet for redaction models at Axon.

I live in New York. If you want the compressed version, therésumé has it; if you want to see the work,start here.