Christopher Burns is a Principal Generative AI Engineer based in Austin with 20+ years of deep technical experience spanning cloud computing, deep learning, software engineering and spatial computing. He has led high-impact ML and spatial initiatives at AWS—advising S-Team executives on keynote-level ML strategy and building a Spatial Computing partner segment that helped partners generate over $50M ARR—before joining Cloudera to focus on generative AI. Comfortable bridging C-suite strategy and hands-on engineering, he combines SDE roots with solution architecture, MLOps and AR/VR expertise, and has trained thousands of practitioners in deep learning. His background ranges from low-level automation and mechanical engineering foundations to enterprise cloud migrations and developer-facing AI tooling, which gives him a pragmatic, systems-first view of AI productization. An active GitHub presence and a knack for translating complex technical work into compelling presentations make him a frequent speaker and internal thought leader. Colleagues rely on him for technical depth, strategic storytelling, and turning bleeding-edge AI research into production-ready solutions.
11 years of coding experience
22 years of employment as a software developer
Mechanical Engineering, Mechanical Engineering at The University of Akron
Contributions:11 commits, 7 pushes, 1 branch in 1 month
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