Christopher Dye is a Senior Technical Staff Member at IBM with 10 years of software and systems experience and a longer engineering career spanning aerospace and turbomachinery. He blends deep mechanical and computational engineering expertise with hands-on cloud, edge, and AI/ML systems work—leading analytics, containerized runtimes, and edge compute initiatives that tied IBM Cloud, research groups, and OEM partners. Christopher has a track record of translating physics-based models into production software, from predictive maintenance analytics for turbines to GPU-accelerated neural network runtimes for decentralized edge devices. He has led cross-disciplinary teams, managed external partnerships, and driven product-focused R&D, including hardware design and 3D-printed enclosures for edge AI. Based in San Diego, he combines rigorous academic training in mechanical engineering with practical software craftsmanship in Python, Go, Rust, and Docker across heterogeneous architectures.
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