You will get a custom multimodal AI solution using image, text, audio, or tabular data
Rising Talent
Project details
Multimodal AI systems combine information from different data sources, such as images, text, audio, video, and structured data. I will develop a custom multimodal machine learning solution based on your task, available data, and expected deliverables.
Depending on the selected package, the project may include data review, modality-specific preprocessing, pretrained model adaptation, feature integration, model training, performance evaluation, error analysis, explainability, and technical documentation.
I can support applications such as image-text classification, medical image and report analysis, document intelligence, product categorization, audio-text analysis, and multimodal research prototypes.
You will receive clear and reproducible Python code, evaluation results, documentation, and recommendations for future development. The implementation may use PyTorch, TensorFlow, Hugging Face, OpenCV, scikit-learn, or other suitable tools.
Please contact me before purchasing if your project involves a very large dataset, complex deployment requirements, sensitive medical data, real-time processing, or a custom research architecture.
Depending on the selected package, the project may include data review, modality-specific preprocessing, pretrained model adaptation, feature integration, model training, performance evaluation, error analysis, explainability, and technical documentation.
I can support applications such as image-text classification, medical image and report analysis, document intelligence, product categorization, audio-text analysis, and multimodal research prototypes.
You will receive clear and reproducible Python code, evaluation results, documentation, and recommendations for future development. The implementation may use PyTorch, TensorFlow, Hugging Face, OpenCV, scikit-learn, or other suitable tools.
Please contact me before purchasing if your project involves a very large dataset, complex deployment requirements, sensitive medical data, real-time processing, or a custom research architecture.
Machine Learning Tools
OpenCV, Python, PyTorch, scikit-learn, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$250
|
Standard
$550
|
Advanced
$950
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
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
+$60
Additional Model Variation
(+ 3 Days)
+$120
Additional Scenario
(+ 3 Days)
+$120
Model Documentation
(+ 2 Days)
+$100
Add one additional data modality
(+ 4 Days)
+$180
Add one additional model variation
(+ 3 Days)
+$120
Add model explainability analysis
(+ 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 - 2:59 am 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.
Understand Your Project
I review your project goals, available data, expected outputs, and technical requirements to define the most suitable multimodal AI solution.
Review and Prepare Data
I examine the provided datasets, organize different data modalities, and prepare them for model development through appropriate preprocessing.