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Work Experience
Deep Learning Software Developer
Tomra •  November 2018 - Present
I develop end-to-end deep learning solution, including data capture, data cleaning, model training, model deployment, and model optimization to run inference in real-time in the field.
Student Research Assistant
Fraunhofer FKIE•  July 2016 - October 2018
Developing end-to-end Deep Learning solutions for Object Detection in Hyper-spectral Imaging.
HPC Engineer
Brightskies Technologies•  January 2014 - October 2015
Parallel programming: - I am experienced in writing and optimizing parallel programs, to run on HPC clusters, utilizing Xeon processors, and Xeon PHI co-processors. I have good experience in writing parallel programs using OpenMP, MPI, and other parallelization tools. I am also experienced in code vectorization using vectorization pragma hints, and using vector intrinsics to achieve the best vectorization results. I am familiar with MMX, AVX, AVX-512 and SSE instruction sets. Cluster administration: - I am competent in deployment, provisioning and administration of HPC clusters. This includes a good knowledge of provisioning engines (ex: xCAT) and workload managers (ex: lsf and univa grid engine), and a good experience in administrating HPC applications over HPC clusters.
Education
Rheinische Friedrich-Wilhelms Universität Bonn
Computer Science, MS•  October 2015 - August 2018
Focus: Intelligent Systems and Machine Learning.
Faculty of Engineering, Alexandria University, Alexandria
Computer and Communication Engineering, BS•  September 2008 - July 2013
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