Computer Science PhD at KAUST. Deep Learning researcher.
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slower_simple_examples
May 20, 2024 – January 6, 2025
slower_simple_examples — GitHub repository
View ProjectRL_week_kaust_academy
July 9, 2023 – July 13, 2023
RL_week_kaust_academy — GitHub repository
View ProjectGlobalSequenceAlignment
October 28, 2021 – December 4, 2021
CS 260 algorithms design and analysis course
View Projectmental-disorder-brain-mri
May 26, 2021 – June 7, 2021
mental-disorder-brain-mri — GitHub repository
View ProjectArabicHnadwrittenTextRecognition-React-Flask
March 15, 2021 – March 23, 2021
ArabicHnadwrittenTextRecognition-React-Flask — GitHub repository
View ProjectKinship-Classifier
October 13, 2020 – October 13, 2020
This notebook is and end-to-end Deep Learning project, the goal of this project is to take two images and classify whether they have parent-child relationship or not.
View ProjectHuman-Detector-Dog-Bread
May 29, 2020 – May 29, 2020
An app that consist of two models. First model, detect if there is a human, dog or neither in an image. Second model, classifies dog breads.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science, machine learning, and deep learning, which aligns well with a Data Scientist role. The diversity of projects, from human/dog detection to kinship classification and text recognition, indicates a broad interest within the field. However, all projects are personal, and there is no information on collaborative work or professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.