Alaa Eltablawy
Senior High Performance Computing Engineer at Schlumberger STIC
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolAlaa Eltablawy is a Senior High Performance Computing Engineer based in the San Francisco Bay Area with eight years of experience optimizing compute-intensive applications for Intel architectures. He has progressed from HPC research intern to senior engineer roles at Colfax International and Schlumberger STIC, focusing on Xeon and Xeon Phi platforms and translating low-level architecture knowledge into practical performance gains. Holding a master’s in Computer Architecture and HPC from The George Washington University, he combines academic grounding with hands-on tuning, benchmarking, and developer education. Recently he has expanded into machine learning and convolutional neural networks, applying HPC techniques to accelerate ML workloads. An early project investigating smartphone distraction and accident detection highlights his ability to blend systems engineering with real-world research and product-minded prototyping.
8 years of coding experience
3 years of employment as a software developer
Master’s Degree, Computer architecture and High Performance Computing, Master’s Degree, Computer architecture and High Performance Computing at The George Washington UniversityBachelor’s Degree, Electrical, Electronics and Communications Engineering, Bachelor’s Degree, Electrical, Electronics and Communications Engineering at Cairo University
Github Skills (21)
sample-data9
intel7
get-started7
speech7
computer-vision6
jupyter-notebook6
automatic-speech-recognition6
hardware6
language-processing6
object-detection5
natural-language-processing5
deep-learning5
machine-learning5
jupyter5
executable5
Programming languages (2)
Github contributions (5)
ColfaxResearch/qarpo
Jun 2019 - Mar 2021
Contributions:84 commits, 1 PR, 90 pushes in 1 year 8 months
intel-iot-devkit/iot-devcloud
Dec 2018 - Feb 2020
The Intel® DevCloud for the Edge allows you to actively prototype and experiment with AI workloads for computer vision on Intel hardware. This repository contains a series of Jupyter* notebook tutorials and examples hosted on Intel® DevCloud for the Edge. It comes preloaded with everything you needed to quickly get started. This includes trained models, sample data and executable code from the Intel® Distribution of OpenVINO™ Toolkit as well as other tools for deep learning. These notebooks are designed to help you quickly learn how to implement deep learning applications to enable compelling, high-performance solutions.
Contributions:117 pushes, 9 branches in 1 year 2 months
everythingjupyter-notebookprototypetensorflowexecutable
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