Liron Kesem
Senior Software Engineer at Red Hat
Morrisville, North Carolina, United States
Summary
🤩
Rockstar🎓
Top SchoolLiron Kesem is a Senior Software Engineer and Core AI Engineer at Red Hat with a focused track record of accelerating large-scale AI systems and LLM execution across hardware and software stacks. With prior roles at Microsoft building custom PyTorch operators and kernel-level optimizations for AI accelerators, he blends low-level systems engineering with pragmatic ML engineering to squeeze performance out of real hardware. He also co-founded Unified AI Mind, delivering an AI-driven RTL automation MVP that speeds hardware design workflows—an unusual bridge between chip design and generative AI. Earlier experience in post-silicon validation, product design, and robotics gives him a systems-minded approach to reliability and testing. Based in Morrisville, NC, he holds a master’s in electrical and electronics engineering and brings an engineer-founder mindset to productionizing research-grade AI performance.
3 years of coding experience
3 years of employment as a software developer
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at Boise State UniversityBachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at Ben-Gurion University of the Negev
Github Skills (13)
keras10
pytorch10
machine-learning10
ai-framework10
accelerator10
deep-learning10
high-performance10
onnx10
tensorflow10
hardware-acceleration10
scikit-learn10
cross-platform9
neural-network8
Programming languages (1)
Github contributions (2)
LironKesem/onnxruntime
Jun 2022 - Aug 2022
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Contributions:39 pushes, 6 branches in 1 month
pytorchdeep-learningruntimemachine-learningonnx
microsoft/onnxruntime
Jul 2022 - Aug 2022
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Contributions:1 review, 5 commits, 8 PRs in 23 days
runtimetrainingtensorflowai-frameworkaccelerator
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