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Youssef S. AI, Python and Data Science

My name is Youssef S. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Deep Neural Network, Deep Learning, pandas, PyTorch, Keras, etc.. I hold a degree in Master of Computer Applications (MCA), Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: Smart Attendance System, Image Segmentation, Object Detection. I am based in Cairo, Egypt. I've successfully completed 3 projects while developing at Softaims.

My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.

Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.

I'm committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.

Main technologies

  • AI, Python and Data Science

    4 years

  • Deep Neural Network

    3 Years

  • Deep Learning

    1 Year

  • pandas

    3 Years

Additional skills

  • Deep Neural Network
  • Deep Learning
  • pandas
  • PyTorch
  • Keras
  • TensorFlow
  • Python
  • NumPy
  • Deep Learning Modeling
  • Data Science
  • Machine Learning
  • Image Processing
  • Artificial Intelligence
  • Academic Research

Direct hire

Potentially possible

Previous Company

Western Union

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Experience Highlights

Image Segmentation

Image Segmentation with U-Net. Detect each pixels in the photo which belong to the road to help self driving car to take a decision based in this detection.

Object Detection

Object Detection using YOLOv3 to detect Human Natural Language. Develop a model that detect human natural language to make communication easier with speechless people.

Education

  • Deggendorf Institute of Technology

    Master of Computer Applications (MCA) in Master’s in Artificial Intelligence for Smart Sensors and Actuators

    2024-01-01-2025-01-01

  • Ain Shams University

    Bachelor of Engineering (BEng) in Computer engineering

    2017-01-01-2022-01-01

Languages

  • Arabic (Native or Bilingual)
  • English (Fluent)