My love of math, nuance, communication, and infrastructure brought me into a career in machine learning, where I've been learning, iterating, and growing since 2016.

Currently, I'm leading AMP's Software teams. We build perception models, run them in edge environments, build embedded, high performing robots, operate facilities, and build value out of data at scale in hybrid/cloud environments. Every improvement we make results in fewer tons of trash being buried in landfill by supplying 4th wave industrial technology.

My core technical contributions center around machine learning platform design, deep learning R&D in computer vision, cloud infrastructure design especially related to data problems, R&D program definition and execution from TRL 2 to 7, and internal tooling automation. It is my firm belief that well designed systems emerge from dense cross-contextual knowledge, and are built by teams who listen better than they speak. Towards this end, I'm always iterating my ability to flexibly apply technical skills in various disciplines, and to communicate broadly within a company.