Maor Ashkenazi
Deep Learning Research Tech Lead at NVIDIA
Israel
Summary
👤
Senior🎓
Top SchoolMaor Ashkenazi is a deep learning research tech lead with 11 years of engineering and leadership experience, currently driving advanced ML research at NVIDIA after leading teams at Deep Instinct and Unit 8200. He combines academic rigor—BSc summa cum laude, accelerated MSc and ongoing PhD work—with hands-on expertise in computer vision, on-device deep learning and neural network compression for resource-constrained environments. His background includes low-level systems, Linux internals and cyber R&D, giving him a rare cross-domain fluency from edge deployments to security-sensitive production systems. Known for turning research prototypes into operational solutions, he has repeatedly led small high-impact teams to deliver practical, optimized models for constrained hardware. Based in Israel, he blends military-grade engineering discipline with academic curiosity and a track record of shipping production-focused AI.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Ben-Gurion University of the Negev
Github Skills (9)
code-optimization9
matrix-multiplication8
optimization7
sandbox7
linear-algebra5
numerical5
root-finding4
blas4
lapack3
Programming languages (2)
Github contributions (5)
maorash/NeRN
Jul 2022 - Jan 2023
Contributions:1 review, 123 commits, 2 PRs in 6 months
PLPbgu/PLP-repo
Feb 2016 - Jun 2021
Contributions:53 pushes, 1 branch in 5 years 4 months
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