You will get I will fine tune vision language models and multimodal AI systems
Rising Talent
Project details
I specialize in fine-tuning modern Vision-Language Models (VLMs) and multimodal AI systems for custom datasets and domain-specific applications.
Experience includes:
• Qwen2.5-VL
• Llama Vision models
• Hugging Face ecosystems
• PyTorch training workflows
• Custom dataset preparation and preprocessing
Ideal for:
• Image understanding systems
• Multimodal AI assistants
• Astronomy and scientific datasets
• Visual reasoning applications
• Research and experimental AI projects
What you will receive:
• Fine-tuned multimodal model
• Dataset preprocessing pipeline
• Training and inference scripts
• Evaluation metrics and benchmarking
• Deployment-ready inference examples
Technologies:
• PyTorch
• Hugging Face Transformers
• Unsloth
Experience includes:
• Qwen2.5-VL
• Llama Vision models
• Hugging Face ecosystems
• PyTorch training workflows
• Custom dataset preparation and preprocessing
Ideal for:
• Image understanding systems
• Multimodal AI assistants
• Astronomy and scientific datasets
• Visual reasoning applications
• Research and experimental AI projects
What you will receive:
• Fine-tuned multimodal model
• Dataset preprocessing pipeline
• Training and inference scripts
• Evaluation metrics and benchmarking
• Deployment-ready inference examples
Technologies:
• PyTorch
• Hugging Face Transformers
• Unsloth
Machine Learning Tools
Amazon SageMaker, BERT, GPT-3, Kubeflow, MLflow, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, pandas, Python, PyTorch, scikit-learn, TensorFlow, Vertex AIWhat's included
| Service Tiers |
Starter
$150
|
Standard
$400
|
Advanced
$850
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 10 days |
Number of Revisions | 2 | 4 | 6 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 4 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $40
Additional Revision
+$30
Additional Model Variation
(+ 2 Days)
+$150
Additional Scenario
(+ 2 Days)
+$120
Additional Graph/Chart
+$25
Model Documentation
+$80
Data Source Connectivity
(+ 2 Days)
+$150
Hugging Face Deployment
(+ 2 Days)
+$250Frequently asked questions
About Omar
AI & Machine Learning | TensorFlow, Computer Vision, Machine Learning
Ajman, United Arab Emirates - 2:15 pm local time
• Hands-on experience building AI-powered applications, computer vision systems, and scalable web applications
• Worked with TensorFlow and PyTorch to develop CNN-based image classification and object detection models
• Experienced in transfer learning and fine-tuning architectures such as ResNet50, Xception, and InceptionV3
• Built and fine-tuned Vision-Language Models (VLMs) and multimodal AI pipelines
• Developed full-stack applications with database integration, APIs, authentication systems, and deployment workflows
• Experience with Python, React, Next.js, and modern AI/deep learning workflows
• Contributed to an AI-driven smart classroom project integrating IoT sensors and automation concepts
• Passionate about solving real-world problems through AI and scalable software solutions
Steps for completing your project
After purchasing the project, send requirements so Omar can start the project.
Delivery time starts when Omar receives requirements from you.
Omar works on your project following the steps below.
Revisions may occur after the delivery date.
Dashboard Planning
Design the dashboard structure and data flow.
Dashboard Development
Build the real-time dashboard and integrate analytics.