Issam Said
Sr. Manager, DevTech Engineer at NVIDIA
Dubai, Dubai, United Arab Emirates
Summary
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Senior🎓
Top SchoolIssam Said is a Senior Manager and DevTech Engineer at NVIDIA with a decade of experience accelerating energy and geophysics applications on GPUs and other accelerators. He blends a PhD in Computational Science with hands-on expertise in CUDA, OpenCL, OpenACC, MPI and Fortran to optimize numerical solvers, inverse-waveform methods and seismic imaging workflows for high-performance and AI-driven pipelines. At NVIDIA he progressed from Solutions Architect to leading solutions for the energy sector, routinely assessing new hardware architectures and programming models to maximize scientific productivity. Known for porting demanding simulation codes to GPUs and even evaluating FPGA systems early in his career, he pairs deep applied-math insight with practical software engineering. Based in Dubai, he equally contributes to applied deep-learning integrations and explores novel numerical approaches that bridge geophysics and ML.
10 years of coding experience
7 years of employment as a software developer
University of HoustonDoctor of Philosophy (Ph.D.), Computational Science, Doctor of Philosophy (Ph.D.), Computational Science at Université Pierre et Marie Curie (Paris VI)Master's degree, Distributed Systems and Applications, Master's degree, Distributed Systems and Applications at Université Pierre et Marie Curie, Télécom ParisTechBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Pierre and Marie Curie University
French, English, Arabic, German
Stackoverflow
1reputation
0reached
0answers
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Github Skills (51)
nvidia-jetson9
gpu9
ansible-role9
tegra9
jetson8
sdk8
nvidia8
led-controller8
nano8
go-language7
golang7
abstraction-layer7
timedelta7
driver7
abstraction7
Programming languages (8)
Github contributions (5)
issamsaid/ezcu
Mar 2017 - May 2018
Contributions:33 commits, 36 pushes, 4 branches in 1 year 3 months
issamsaid/hiCL
Jun 2016 - Nov 2016
Contributions:261 commits, 14 PRs, 235 pushes in 5 months
cudagpuhigh-levelscientific-computingabstraction-layer
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