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Kareem M. AI, Machine Learning and Data Science Platforms

My name is Kareem M. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Python, Machine Learning, Deep Learning, Computer Vision, TensorFlow, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: Brain Tumor Detection Using Deep Learning, Car License Plate Detection, RAG-Question Generation, Disease Prediction Using Machine Learning, Image to Text & Voice Converter, etc.. I am based in Cairo, Egypt. I've successfully completed 8 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, Machine Learning and Data Science Platforms

    6 years

  • Python

    4 Years

  • Machine Learning

    1 Year

  • Deep Learning

    2 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Self-employed

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Experience Highlights

Brain Tumor Detection Using Deep Learning

This project implements a deep learning solution for detecting brain tumors in MRI (Magnetic Resonance Imaging) scans. The application provides a user-friendly web interface built with Streamlit, maki

Car License Plate Detection

This project implements a real-time license plate recognition system using computer vision and deep learning techniques. The system can detect vehicles, track them across video frames, and recognize t

RAG-Question Generation

This application processes uploaded PDF documents, extracts meaningful content, and generates insightful questions using AI models. It leverages LangChain, Google Generative AI, and other advanced too

Disease Prediction Using Machine Learning

This Disease Prediction System is an innovative healthcare application that leverages machine learning algorithms to predict potential diseases based on input symptoms. The system utilizes three diffe

Image to Text & Voice Converter

Image to Text & Voice Converter A Streamlit-based web application that converts text from images into speech. This application uses OCR (Optical Character Recognition) to extract text from images and

Education

  • King Salman International University

    Bachelor of Engineering (BEng) in Computer engineering

    2021-01-01-2026-01-01

Languages

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