You will get a machine learning model for prediction, classification, or regression
Project details
I am an AI Engineering graduate with hands-on experience building end-to-end machine learning solutions from data preprocessing and model training to evaluation.Unlike many generalist freelancers, I bring real project experience across multiple ML domains including medical imaging (pneumonia detection, AUC 0.88), energy consumption forecasting, and computer vision. I know how to handle messy real-world data, address class imbalance, compare multiple models, and deliver results that are reproducible and well-documented.
Every project I deliver includes clean code, clear evaluation metrics, and documentation so you don't just get a model, you get a solution you can understand, use, and build on.
Every project I deliver includes clean code, clear evaluation metrics, and documentation so you don't just get a model, you get a solution you can understand, use, and build on.
Machine Learning Tools
NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, XGBoostWhat's included $30
These options are included with the project scope.
$30
- Delivery Time 7 days
- Number of Revisions 2
- Number of Model Variations 2
- Number of Scenarios 1
- Number of Graphs/Charts 3
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
Optional add-ons
You can add these on the next page.
Additional Revision
+$5
Additional Model Variation
(+ 2 Days)
+$10
Additional Graph/Chart
(+ 2 Days)
+$5About Ayah
AI Engineer | Computer Vision & Machine Learning
Ajman, United Arab Emirates - 2:48 am local time
My project experience spans the full ML spectrum from classical regression and scikit-learn experiments to complex deep learning systems. Notable projects include a pneumonia detection model using PyTorch (ensemble AUC 0.88) and CrowdTrack, a real-time crowd monitoring system built with MMRotate and DeepSORT.
I have also competed in two AI hackathons, where I built and shipped AI solutions under tight deadlines including a medical desert detection platform and a multi-agent marketing assistant using RAG and vector databases.
I bring strong skills in Python, PyTorch, OpenCV, YOLO, MLflow, and LangChain, and I am eager to apply my knowledge to real client challenges.
Steps for completing your project
After purchasing the project, send requirements so Ayah can start the project.
Delivery time starts when Ayah receives requirements from you.
Ayah works on your project following the steps below.
Revisions may occur after the delivery date.
Data Review & Understanding
I will explore your dataset to understand its structure, check for missing values, and identify any quality issues that need to be addressed before modeling.
Data Preprocessing & Cleaning
I will clean the data, handle missing values, encode categorical variables, and balance the dataset if needed to ensure the model trains effectively.