Mohamed O.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Aug 28, 2026.

I help researchers and graduate students build, train, evaluate, and document AI models for academic research papers. My work focuses on turning datasets and model ideas into reproducible experiments, clear metrics, result tables, plots, and technical reports that can support thesis work, conference papers, and journal submissions. A major part of effective model training is saving time and computational cost; AI model training should not be a random trial-and-error process, but a structured sequence of controlled experiments and metric-driven adjustments. With the rising cost of training and the increasing complexity of modern AI models, this aspect became a critical concern when developing AI models, which I take seriously. I can help with: • Training and evaluating deep learning models • Computer vision experiments: classification, detection, and segmentation • Dataset preprocessing and augmentation • PyTorch / TensorFlow model implementation • Paper reproduction and code adaptation • Model comparison and ablation studies • Metrics, plots, result tables, and experiment documentation • Methodology and results-section writing support • Cost and Time Efficient Training. I have hands-on experience with AI research workflows and have authored AI-related research papers, including an IEEE-published paper. I understand that academic AI work is not just about running code; it requires clean experiments, reproducible results, careful evaluation, and clear explanation. If you already have a dataset, model idea, paper to reproduce, or results that need organization, I can help you turn them into a structured and research-ready output.