Mahmoud H.
Digital Transformation & Mechanical Consultant
Digital transformation & mechanical analysis specialist focused on turning CFD/FEA data into ML-ready, decisionable insights. I build reproducible pipelines that connect PyAnsys/ANSYS Fluent APIs, OpenFOAM (Python bindings), and CAD APIs to PyTorch/scikit-learn for surrogate modeling (FNOs, PINNs), Bayesian/Optuna hyperparameter search, and uncertainty quantification. Workflow reliability comes from MLflow/DVC for experiment tracking and data versioning, prefect/Airflow for orchestration, and containerized runs on Kubernetes/Slurm. Insights ship via interactive data visualization (Plotly/Dash, Bokeh, Grafana) and metrics dashboards wired to simulation telemetry. The result: automated simulation-to-ML loops, scalable digital twins, and analytics that compress iteration time while raising confidence in mechanical design decisions.
Earnings and projects
An estimate from an earlier read
Billed in all: $16,735$17k
Across 105 contracts
Earnings, last 30 days
No data since Nov 5, 2026.