Mohamed E.

Key Skills

Software

No software listed

Top Subject Matter

Machine Learning

Image Classification

Data Analysis

Top Data Types

Image

Document

Computer Code Programming

Top Task Types

Classification

Object Detection

Computer Programming/Coding

Data Collection

Freelancer Overview

Deep Learning Trainee. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include TensorFlow and Scikit-learn. Education includes Bachelor of Science, Egyptian Russian University (2023). AI-training focus includes data types such as Image, Medical, and DICOM and labeling workflows including Classification.

Labeling Experience

Deep Learning Trainee

ImageClassification

As a Deep Learning Trainee, I developed and trained Convolutional Neural Networks (CNNs) for image classification tasks. My work involved preparing and processing image datasets for accurate labeling and model training. Hyperparameter tuning and validation were performed to maximize the accuracy of image classification models. • Processed and labeled large sets of visual datasets for supervised learning. • Applied CNNs for discriminative feature extraction and representation learning from images. • Utilized TensorFlow and PyTorch frameworks to train and evaluate models. • Ensured data quality through systematic dataset evaluation and validation.

2026 - 2026

Academic ML Project Contributor – Parkinson’s Disease Detection

Classification

For the Parkinson’s Disease Detection academic project, I developed a machine learning pipeline to classify medical data and detect disease markers. This included data preprocessing, supervised labeling, and evaluation of medical datasets. The project focused on labeling data for model training and validating model predictions. • Processed and labeled DICOM or structured medical datasets for disease detection. • Used Scikit-learn and Python to train and evaluate classification models. • Applied feature engineering and statistical analysis for data reliability. • Ensured compliance with domain requirements in handling sensitive medical data.

Not specified

Education

Work History