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Mohamed E. AI, Data Annotation and Medical Imaging

My name is Mohamed E. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Data Annotation, Data Labeling, Image Annotation, Image Segmentation, Video Annotation, etc.. I hold a degree in Bachelor's degree. Some of the notable projects I’ve worked on include: Medical Imaging 3D segmentation, AI Model training, CT Scan Segmentation, Agriculture annotation, Retail annotation services, etc.. I am based in Dubai, United Arab Emirates. I've successfully completed 7 projects while developing at Softaims.

I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.

The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.

I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.

Main technologies

  • AI, Data Annotation and Medical Imaging

    4 years

  • Data Annotation

    3 Years

  • Data Labeling

    3 Years

  • Image Annotation

    3 Years

Additional skills

  • Data Annotation
  • Data Labeling
  • Image Annotation
  • Image Segmentation
  • Video Annotation
  • Medical Terminology
  • Medical Imaging
  • Dentistry
  • Arabic
  • Semantic Segmentation
  • CVAT
  • Chatbot Prompt
  • Data Collection
  • Data Mining
  • AI-Enhanced Medical Imaging
  • Data Analysis

Direct hire

Potentially possible

Previous Company

Microsoft Gulf

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Experience Highlights

Medical Imaging 3D segmentation | CT scan segmentation

Segmentation is crucial for tasks such as tumor detection and measurement, organ volume assessment, treatment planning, and disease diagnosis. It allows for precise localization and characterization of abnormalities, aiding healthcare professionals in making informed decisions about patient care. Additionally, 3D segmentation can provide valuable insights into the spatial relationships between different anatomical structures, contributing to a more comprehensive understanding of the patient's condition. Iwe accurately identify and delineate anatomical structures in CT scans, MRI, or ultrasound

AI Model training | Image annotation | Image Analysis

Specializing in precise image annotation services, we deliver high-quality data for AI and machine learning projects. Annotation tools: -Bounding Box -Polygon - Semantic segmentation - Instance segmentation - Key Point annotation -Key points - Lines -Skeleton Annotation tools: -Labelbox, Superannotate, Label Studio, Hasty, Supervisely, Segmentai, CVAT, V7, Robotflow, Labelme, Redbrick AI, and more

CT Scan Segmentation

In this project, we provide segmentation services for CT scans and MRIs. This includes the segmentation of body vessels, bones, and organs into 3D models using 3D Slicer or any other 3D segmentation tool.

Agriculture annotation

Agriculture annotation project aimed at training AI models across diverse domains such as crop disease detection, pest identification, soil quality assessment, irrigation analysis, and yield prediction. The project involves detailed annotation of multimodal data including images, text, and sensor readings. These annotations support the development of intelligent systems for accurate diagnostics, precision farming, and automation, ultimately enhancing agricultural productivity and sustainability.

Retail annotation services

provide high-quality retail annotation services to train AI models for product recognition, shelf analysis, inventory management, and customer behavior tracking. Our team delivers accurate labeling of products, barcodes, pricing, and planograms using bounding boxes, polygons, and segmentation. ensuring your retail AI solutions are smarter and more efficient.

Education

  • MISR University for Science and Technology

    Bachelor's degree in Dentistry

    2012-01-01-2017-01-01

Languages

  • Arabic
  • English