Domas Buracas is a research-focused software engineer specializing in 3D vision, robotics, and geometric world models, with a decade of experience across academia and industry. He currently develops equivariant robotics and world models at UPenn's GRASP Lab and previously co-founded research at New Theory after leading geometric representation learning work at UC Berkeley. His background includes multiple NVIDIA internships in 3D and 4D reconstruction, applied scene understanding at Shield AI, and hands-on robotics systems leadership dating back to underwater robotics teams. Domas bridges computational neuroscience, Bayesian modeling, and geometric deep learning to build principled perception systems that generalize across transformations. Based in San Francisco, he combines deep theoretical grounding with practical system-building—an engineer who moves smoothly between research prototypes and production-grade reconstruction pipelines.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of California, Berkeley
Contributions:1 release, 57 commits, 28 PRs in 1 month
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