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Gaber Y. AI, Machine Learning and Deep Learning Platforms

My name is Gaber Y. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Deep Neural Network, TensorFlow, Natural Language Processing, Computer Vision, Machine Learning, etc.. I hold a degree in Master's degree, Bachelor's degree. Some of the notable projects I've worked on include: Real-time Activity Recognition, Generate Faces using Deep Convolutional GANs, Dermatologist AI - Skin Cancer Detection, Face Recognition and Verification. I am based in Cairo, Egypt. I've successfully completed 4 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims' clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • AI, Machine Learning and Deep Learning Platforms

    6 years

  • Deep Neural Network

    3 Years

  • TensorFlow

    4 Years

  • Natural Language Processing

    5 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Rosalyn.ai

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Experience Highlights

Real-time Activity Recognition

This was my graduation project. We built an online action recognition system that recognizes different actions based on UCF-101 Dataset published in 2013. Online recognition means that we receive a s

Generate Faces using Deep Convolutional GANs

Using generative adversarial networks I generate new images of faces using deep convolutional networks. I used the open-source large scale celebA dataset.

Dermatologist AI - Skin Cancer Detection

I designed an algorithm based on ConvNets that can visually diagnose melanoma, the deadliest form of skin cancer. In particular, your algorithm will distinguish this malignant skin tumor from two type

Face Recognition and Verification

In this project, I used ConvNets, Keras, OpenCV, and Dlib to 1. Face Detection 2. Face alignment by identifying the geometric structure of human faces in digital images. Given the location and size

Education

  • University of Bath

    Master's degree in Artificial Intelligence

    2021-01-01-2023-01-01

  • Alexandria University

    Bachelor's degree in Communications and Electronics

    2014-01-01-2019-01-01

Languages

  • English (Fluent)✓