JD

James Decker

ML Compiler Engineer at Gensyn

James Decker is a seasoned professional in the field of programming languages and compilers, currently serving as the Performance Tooling Lead at Modular AI since April 2022. Prior to this role, James held the position of Principal Compiler Engineer at SambaNova Systems, where technical leadership was provided for projects focused on embedded domain-specific languages and compiler tools. Academic experience includes a Graduate Research Fellowship at Purdue University, emphasizing metaprogramming and machine learning kernels, and a visiting researcher position at Stanford University examining compilers for hardware accelerators. James's earlier internships at Google and Huawei Technologies, alongside various roles at Micron Technology and teaching positions at Utah State University, highlight a robust background in software engineering and education. James holds a Bachelor's degree in Computer Science from Utah State University and pursued doctoral studies at Purdue University.

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London, United Kingdom

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Gensyn

Gensyn is the hyperscale, cost-efficient compute protocol for the world's deep learning models.


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