You will get surrogate modeling and sensitivity analysis for engineering systems
Project details
I will develop advanced AI-based surrogate models and perform sensitivity analysis to help understand, predict, and optimize complex engineering systems. My work focuses on transforming simulation or experimental data into accurate machine learning models that can efficiently approximate system behavior.
I use methods such as Artificial Neural Networks (ANN), Gaussian Process Regression (GPR), Random Forest, MLP, and regression techniques to build high-performance predictive models. These models are used to reduce computational cost, accelerate design decisions, and improve optimization workflows.
Along with surrogate modeling, I perform detailed sensitivity analysis to identify the most influential input parameters affecting system performance. This helps in better design understanding, optimization, and decision-making.
My goal is to provide reliable, data-driven engineering insights through AI models that bridge the gap between simulation accuracy and computational efficiency.
I use methods such as Artificial Neural Networks (ANN), Gaussian Process Regression (GPR), Random Forest, MLP, and regression techniques to build high-performance predictive models. These models are used to reduce computational cost, accelerate design decisions, and improve optimization workflows.
Along with surrogate modeling, I perform detailed sensitivity analysis to identify the most influential input parameters affecting system performance. This helps in better design understanding, optimization, and decision-making.
My goal is to provide reliable, data-driven engineering insights through AI models that bridge the gap between simulation accuracy and computational efficiency.
Machine Learning Tools
MATLAB, Microsoft Excel, Microsoft Power BI, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$75
|
Standard
$125
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 3 | 5 |
Number of Model Variations | 3 | 5 | 7 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 5 | 7 | 10 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $60
Additional Revision
+$20About Hadeed
Mechanical Engineer | CAD, FEA, CFD & ML Surrogate Modeling
Hyderabad, Pakistan - 12:48 am local time
My toolkit is deep and cross-disciplinary. On the simulation side I work in Abaqus, ANSYS Fluent, SolidWorks, and AutoCAD. On the data science side I implement Gaussian Process Regression, Random Forest, and ANN models in Python — with Sobol' sensitivity decomposition to rank which design variables actually matter. I've applied this stack to composite micromechanics, wind turbine power prediction, and condensation heat transfer, producing results at publication quality — two papers currently under review in international journals.
On the CAD and drafting side, I am a five-time Certified SolidWorks Professional — holding credentials in Mechanical Design, Electrical Design, Additive Manufacturing, and Sustainability — which puts me in a small category of freelancers with formally validated expertise across the full SolidWorks ecosystem. My modeling work covers part and assembly design, sheet metal, weldments, SolidWorks Simulation, and full drawing packages ready for fabrication. Every model I deliver is fully defined, correctly constrained, and structured so your team can modify it without breaking the feature tree.
For 2D work I use AutoCAD to produce technical drawings, layouts, and schematics that are dimensionally accurate, clearly annotated, and ready for fabrication or permitting without revision cycles. I understand GD&T principles, standard projection conventions, and what a machinist actually needs to read a drawing confidently — so I'm not just tracing geometry, I'm producing documentation that communicates design intent.
My engineering background is grounded in real industrial exposure. My internship at Engro Polymer and Chemicals put me on the floor with rotating equipment — pumps, compressors, turbines — and that manufacturing and maintenance context shapes how I design: with assembly, serviceability, and real-world constraints in mind from the first sketch.
What this means for you practically: whether you need a precision CAD model, a fabrication-ready drawing package, a high-fidelity FEA or CFD study, or a full surrogate-accelerated design space exploration with uncertainty quantification — I can deliver it end to end, from geometry and meshing through analysis, post-processing, and final reporting.
I'm a BE Mechanical Engineering graduate from NUST Islamabad and an experienced technical writer. Every deliverable I hand over is clean, documented, and ready for your internal review or journal submission.
If your project sits at the intersection of design, simulation, and data — let's talk.
Steps for completing your project
After purchasing the project, send requirements so Hadeed can start the project.
Delivery time starts when Hadeed receives requirements from you.
Hadeed works on your project following the steps below.
Revisions may occur after the delivery date.
Problem Definition & Data Understanding
I analyze your dataset or simulation results, understand the input/output variables, and define the objective for surrogate modeling and sensitivity analysis.
Model Development & Training (AI/ML Surrogate Models)
I build and train machine learning models such as ANN, GPR, Random Forest, MLP, or regression models to accurately approximate system behavior and predict outputs.