Mohamed E.

Mohamed E.

Cairo, Egypt
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About Me

Mohamed is a Data Scientist providing expertise on the full project lifecycle of data solutions from analytic problem definition through data gathering, analysis, model development, reporting/visualization development, testing, and operational deployment. He applies deep learning and computer vision techniques in building models, performing statistical analysis and creating visualizations to provide scalable solutions on projects.

AI, ML & LLM

Deep Learning Machine Learning

Frontend

React.js

Database

SQL

Other

Python C++ Data Engineering Data Science Statistics Computer Vision Computer Graphics

Work history

UpStack
UpStack
Data Scientist
2021 - Present (4 years)
Remote

  • Identify opportunities for leveraging company data to drive business solutions.

  • Helps build and improve infrastructure, application and performance development and ensures tight security including data encryption, security groups, and environment scanning.

  • Closely collaborate with different functional teams to implement models and monitor outcomes.

PythonC++SQLReact.jsData ScienceStatisticsDeep LearningComputer VisionMachine Learning
ScriptSender
ScriptSender
Senior Software Engineer
2021 - Present (4 years)
West Palm Beach, FL , United States of America

  • Work collaboratively with other engineers to build, implement and drive solutions on the ScriptSender solution.

  • Design and implement state-of-art 3D tools to enhance existing data science methods, models, and products on the project.

  • Produce solutions for the IVIS viewer to improve 3D medical imaging on the ScriptSender platform and enhance user experience.

React.jsJavaScriptPythonC++Data ScienceDeep LearningComputer VisionComputer GraphicsMachine Learning
360Imaging
360Imaging
Senior Computer Vision Engineer
2020 - 2021 (1 year)
Atlanta, United States of America

  • Contributed to the development and implementation of computer vision solutions on dental data for 360Imaging.

  • Developed and implemented advanced algorithms and fail-safe robotic solutions on projects for the client.

  • Created, implemented, and iteratively improved on Computer Vision processing methods and models on the project.

C++PythonData ScienceStatisticsDeep LearningComputer VisionComputer GraphicsMachine Learning
DilenyTech
DilenyTech
R&D Software Engineer
2018 - 2020 (2 years)
Cairo, Egypt

  • Designed and implemented algorithms within a research framework to test and validate results.

  • Worked with advanced technical approaches and techniques in delivering solutions to complex issues on projects.

  • Built and integrated end-to-end lifecycles of various data science solutions for the R&D team.

PythonC++SQLReact.jsData ScienceStatisticsDeep LearningComputer VisionComputer GraphicsMachine LearningDevOpsGitlabGitMicroservices

Showcase

Senior Engineer - MammoSuggest
Senior Engineer - MammoSuggest

  • MammoSuggest utilizes artificial intelligence (AI) to enhance breast cancer detection through a second reader for radiologists.

  • The system automatically detects and classifies breast abnormalities in mammograms using proprietary AI models.

  • The Senior Engineer was the main AI developer responsible for implementing solutions for breast cancer detection and classification.

Senior Engineer - Computer Vision Library (360Imaging)
Senior Engineer - Computer Vision Library (360Imaging)

  • Participated in a six-member R&D team focused on developing a computer vision library for 360Imaging's system.

  • Designed and translated research and technical requirements into tasks, including new features like 2D active contour functionality and 3D Geodesic Active Contours for segmenting teeth.

  • Refactored library modules to improve basic functions.

Senior Engineer - Anomaly Detection of Endoscopy Images Using Deep Learning
Senior Engineer - Anomaly Detection of Endoscopy Images Using Deep Learning

  • Utilizes a 120k+ endoscopy images dataset sourced from multiple sources.

  • Employs unsupervised techniques (One-Class SVM and Isolation Forest) for image domain exploration.

  • Trained a GAN model achieving 0.89 accuracy on the test set using AWS virtual machine for training.

Education

M.Sc.Eng. In Biomedical Engineering
M.Sc.Eng. In Biomedical Engineering
Cairo University
2018 - 2020 (2 years)
Bachelor of Biomedical Engineering
Bachelor of Biomedical Engineering
Cairo University
2013 - 2018 (5 years)