Summary
Chris Garry is a Washington, D.C.-based technologist with 13 years of experience focused at the intersection of machine learning, hardware, and open source. He combines electrical and computer engineering foundations from UMass Amherst with ongoing graduate-level computer science study to bridge low-level systems and ML software. Comfortable navigating both hardware constraints and algorithmic design, he brings a pragmatic mindset to building reproducible, open toolchains. Though not tied to a single company profile, his background suggests strengths in embedded or accelerator-aware ML work and collaborative open projects. Colleagues would describe him as curious, technically versatile, and invested in making ML systems more accessible through open ecosystems.
13 years of coding experience
Master's degree Computer Science, Master's degree Computer Science at University of Massachusetts Amherst