Brian Hart is a seasoned software engineer with 10+ years at IBM specializing in porting deep learning frameworks like PyTorch and Caffe to Linux on IBM Power for Watson Machine Learning Community Edition. His background spans low-level systems work—from AIX storage and VirtIO SCSI guest drivers to kernel update readiness and cross-organizational CUDA ports—giving him rare expertise at the intersection of device drivers, OS internals, and AI stack integration. Based in Austin, he combines hands-on kernel and driver development with modern ML framework engineering, enabling high-performance compute on Power hardware. Colleagues rely on him to translate hardware and virtualization constraints into production-ready software, and he frequently bridges teams across IBM and external partners. That fusion of legacy enterprise systems experience and contemporary deep learning deployment makes him especially effective at productizing ML on unconventional platforms.
This repo contains ancillary information used to assist users of IBM Watson Machine Learning Community Edition. This repo will contain How To's, Readme's, Dockerfiles, etc. that can be consumed by users looking to get started.
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Brian Hart - Software Engineer - WML CE PowerAI at IBM