Manuel聽Soto
Software Engineer at Microsoft
Portland, Oregon, United States
Summary
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Rockstar馃帗
Top SchoolManuel Soto is a software engineer with nine years of systems and ML experience, currently developing ML accelerator frameworks on Microsoft's AI Frameworks team. He spent nearly a decade at Intel contributing to OneDNN (formerly MKL DNN), building and optimizing deep learning primitives for current and next-generation Intel architectures. His background spans embedded IoT, cloud integration, and 5G telecom solutions, giving him a strong systems-to-ML continuum. Trained with an MSc in Advanced Computer Sciences from the University of Manchester, he blends low-level performance engineering with production-focused ML infrastructure. Based in Portland, he is active in the OneDNN community and prefers deliberate, message-first networking rather than unsolicited connections.
8 years of coding experience
8 years of employment as a software developer
Master of Science (MSc) Advanced Computer Sciences, Master of Science (MSc) Advanced Computer Sciences at The University of ManchesterFirst Year Engineering Information Systems, First Year Engineering Information Systems at National School of Computer Science and Applied Mathematics of GrenobleBachelor of Engineering (B.Eng.) Computer Engineering, Bachelor of Engineering (B.Eng.) Computer Engineering at Universidad Aut贸noma de Baja California
English, French, Spanish
Github Skills (11)
neural-network10
opencl10
sycl10
openmp10
oneapi10
tbb10
deep-learning10
cpp10
deep-neural-networks10
x86-6410
chainer10
Programming languages (1)
Github contributions (3)
uxlfoundation/oneDNN
May 2017 - Jan 2023
oneAPI Deep Neural Network Library (oneDNN)
Contributions:34 reviews, 627 commits, 2 PRs in 5 years 8 months
bfloat16sse41avx512openmpopencl
openvinotoolkit/oneDNN
May 2021 - Nov 2021
oneAPI Deep Neural Network Library (oneDNN)
Contributions:115 commits in 5 months
caffe2deep-learningdeep-neural-networkoneapineural-network
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