You will get a custom medical image classification models
Rising Talent
Project details
Need a custom deep learning model for medical image classification?
I develop research-ready medical image classification pipelines using Python, PyTorch, TensorFlow, OpenCV, and related tools. I can support mammography, X-ray, CT, MRI, or other imaging datasets when suitable data and labels are provided.
Depending on the selected package, the project may include:
• Dataset review and image preprocessing
• Transfer learning or custom model development
• Training, validation, and model tuning
• Class imbalance handling
• Performance evaluation and visualizations
• Baseline or model comparison
• Explainability or robustness analysis when agreed
• Clean source code, README, and documentation
I am a PhD researcher in Computer Science at Macquarie University with research experience in medical AI, computer vision, multimodal learning, and adversarial robustness.
This service is for research and prototyping. It does not provide medical diagnosis, clinical validation, regulatory approval, or a production medical device.
I develop research-ready medical image classification pipelines using Python, PyTorch, TensorFlow, OpenCV, and related tools. I can support mammography, X-ray, CT, MRI, or other imaging datasets when suitable data and labels are provided.
Depending on the selected package, the project may include:
• Dataset review and image preprocessing
• Transfer learning or custom model development
• Training, validation, and model tuning
• Class imbalance handling
• Performance evaluation and visualizations
• Baseline or model comparison
• Explainability or robustness analysis when agreed
• Clean source code, README, and documentation
I am a PhD researcher in Computer Science at Macquarie University with research experience in medical AI, computer vision, multimodal learning, and adversarial robustness.
This service is for research and prototyping. It does not provide medical diagnosis, clinical validation, regulatory approval, or a production medical device.
Machine Learning Tools
Keras, MLflow, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, PyTorch, scikit-learn, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$220
|
Standard
$550
|
Advanced
$1,100
|
|---|---|---|---|
| Delivery Time | 7 days | 12 days | 18 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 4 |
Number of Scenarios | 1 | 2 | 4 |
Number of Graphs/Charts | 2 | 5 | 8 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$80 - $250
Additional Revision
+$50
Additional Model Variation
(+ 2 Days)
+$100
Additional Scenario
(+ 2 Days)
+$80
Additional Graph/Chart
(+ 1 Day)
+$25
Explainability Analysis
(+ 2 Days)
+$120
Model Robustness Testing
(+ 3 Days)
+$150Frequently asked questions
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KI
Kelvin I.
Jul 4, 2026
AI Course Development and Teaching for Beginners
About Ghazal
Machine Learning Engineer | Computer Vision | LLMs | Medical AI
Macquarie Park, Australia - 7:22 pm local time
Looking for an AI solution that goes beyond a basic model or prototype?
I’m a Machine Learning Engineer and Computer Science PhD researcher specializing in Machine Learning, Deep Learning, Computer Vision, LLMs, Multimodal AI, and Medical AI. I help startups, businesses, and research teams turn complex ideas and data into reliable, practical AI solutions.
I can help you with:
• Machine Learning & Deep Learning — custom models, prediction systems, classification, and optimization
• Computer Vision — image classification, medical imaging, feature extraction, and deep learning pipelines
• LLMs & Generative AI — LLM-based applications, NLP pipelines, and intelligent AI systems
• Multimodal AI — solutions combining images, text, tabular data, or other modalities
• Medical & Healthcare AI — medical image analysis, robust AI models, and research-driven implementations
• AI Research & Implementation — reproducing research papers, implementing novel methods, experimentation, and evaluation
• Technical AI Consulting — architecture decisions, model selection, project roadmaps, and research direction
Why work with me?
My work combines research-level AI expertise with practical implementation. Rather than simply training a model, I focus on understanding your problem, selecting the right methodology, building a clean and reproducible pipeline, evaluating it properly, and delivering a solution you can actually use or extend.
My technical stack includes Python, PyTorch, TensorFlow, scikit-learn, OpenCV, and modern deep learning and AI frameworks.
Whether you already have a well-defined project or just an idea and need help determining the best technical direction, I’d be happy to discuss it.
Send me a message or book a consultation, and let’s turn your AI idea into a practical solution.
Steps for completing your project
After purchasing the project, send requirements so Ghazal can start the project.
Delivery time starts when Ghazal receives requirements from you.
Ghazal works on your project following the steps below.
Revisions may occur after the delivery date.
Project and Data Review
Review the task, dataset structure, labels, constraints, and expected outputs.
Medical Image Preprocessing
Prepare images through resizing, normalization, augmentation, and data splitting.