Summary
Zachary Chavis is a PhD candidate and graduate research assistant at the University of Minnesota with six years of experience building deep learning, 3D computer vision, graphics, and robotics systems. He combines academic research with industry exposure from a Meta AI research internship and hands-on engineering in medical imaging, where he developed C++ frameworks for 3D implant visualization and AI-driven keypoint integration. His work spans from real-time RGB-D point cloud systems for robot navigation to animation and planning, bridging perception and control. Comfortable across modern ML stacks and low-level geometry/math libraries, he excels at turning research prototypes into usable software. Based in the Twin Cities, he brings both teaching and mentoring experience from tutoring and undergraduate research roles, and a demonstrated knack for applying vision research to real-world, safety-critical domains.
6 years of coding experience
3 years of employment as a software developer
Associate’s Degree, Computer Science, Honors, Associate’s Degree, Computer Science, Honors at Anoka Ramsey Community College
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Minnesota
University of Minnesota Twin Cities