Summary
Overview
Work History
Education
Skills
Timeline
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Aws AlShraideh

Aydoun / Irbid

Summary

Recent computer-science graduate with foundational knowledge in Deep-learning and software development, with experience gained through academic projects and internships. Demonstrated great ability in problem-solving and communications. Created a deepfake attributor model with PyTorch on the Deepfake Different Models (DFDM) dataset with 74.15% accuracy as my graduation project. Excited to learn more and contribute in research by applying to a masters in computer-science.

Overview

3
3
years of post-secondary education
2
2
Languages

Work History

Intern Software Developer

Jo-Vision
Ar-Ramtha, Irbid
07.2024 - 10.2024
  • Worked on creating and designing basic websites using Javascript.
  • Developed mobile applications with features that utilized cameras, precise location, and Accelerometers and gyroscopes using React-Native.
  • deployed AI models (scikit-learn & TensorFlow) to make predictions using both, supervised and unsupervised learning on datasets of tires.
  • Conducted market research on 8 mobile diabetes apps, and helped design a high-fidelity Figma UI prototype for the company's upcoming diabetes app.

Education

Bachelor in Computer Science - Computer Science

Jordan University of Science And Technology
Irbid
10.2021 - 01.2025

Skills

Teamwork and collaboration

Programming languages (C, Python, React-Native, JavaScript)

Mobile app development

Machine learning

Cybersecurity

Human-computer interaction

Discrete mathematics

Statistics and probability

Timeline

Intern Software Developer

Jo-Vision
07.2024 - 10.2024

Bachelor in Computer Science - Computer Science

Jordan University of Science And Technology
10.2021 - 01.2025

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Aws AlShraideh