Javier Martinez
Principal AI Software Architect at ONNX
Folsom, California, United States
Summary
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Rockstar🎓
Top SchoolJavier Martinez is a Principal AI Software Architect with over two decades of experience designing high-performance software, drivers, and compilers for complex compute and graphics systems. At Intel he leads cross-stack Client AI optimizations and has driven architectural solutions that improve AI throughput, latency and predictability while enabling reuse across diverse hardware. His background in both computer and chemical engineering informs a systems-thinking approach—applying numerical methods, uncertainty analysis and scheduling techniques to practical AI and vision problems like foveated rendering and eye tracking. A hands-on technical leader and mentor, he has repeatedly reduced build times and footprint in compiler toolchains and helped shepherd OpenXR foveation proposals toward productization. Active in the ecosystem as an ONNX SIG co-chair, he combines deep implementation expertise with a passion for turning novel ideas into competitive advantages.
7 years of coding experience
13 years of employment as a software developer
BS Chemical Engineering, BS Chemical Engineering at Universidad Simón BolívarMS Computer Science, MS Computer Science at University of Nevada, Reno
Github Skills (53)
transformers10
scoring10
pytorch10
ai-framework10
recommendation-system10
diffusion-models10
machine-learning10
inference-engine10
cross-platform10
inference10
accelerator10
onnx10
stable-diffusion10
hardware-acceleration10
openvino10
Programming languages (5)
Github contributions (5)
javier-intel/openvino
Jul 2024 - Dec 2024
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Contributions:5 pushes, 6 branches in 4 months
javier-intel/onnx-sigs
Apr 2024 - Jul 2024
Repository for ONNX SIG artifacts
Contributions:1 push, 2 branches in 3 months
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