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Fiverr Pro
English
$
USD
I will train deep learning and machine learning computer vision ai models
LLM Data Science and Full Stack Expertise and Where Code do chats
AI/ML engineer and full-stack developer who solves business problems, not just writes code.
I build AI agents, models, chatbots, LLM integrations, and automations that save you time and cut costs. I...
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
Highly Responsive
Known for exceptionally quick replies
About this Gig
Are you struggling to build a deep learning or machine learning model that actually works? I specialize in training, fine-tuning, and deploying high-performance AI models tailored to your exact needs.
With hands-on expertise in deep learning, machine learning, NLP, and computer vision, I build solutions that solve real business problems not just experiments.
What I deliver:
- Deep learning models: CNNs, RNNs, YOLO, GANs, Transformers
- Machine learning: classification, regression, clustering, anomaly detection
- Computer vision: object detection, image segmentation, OCR, face recognition
- NLP: sentiment analysis, chatbots, text classification, named entity recognition
- End-to-end: data preprocessing model training evaluation deployment
Real-world projects I have built:
License plate recognition, medical image analysis, crowd counting, defect detection, invoice extraction, face mask detection
Tools & frameworks:
Python | TensorFlow | PyTorch | Keras | OpenCV | HuggingFace
Why clients choose me:
- Clean, well-documented code
- On-time delivery, every time
- Unlimited communication until you are satisfied
Send me a message before ordering let's make sure your AI vision becomes reality.
My Portfolio
FAQ
How many classes you can classify with machine learning?
Up to 1000 classes can be classified with Machine Learning!
What types of deep learning models can you build?
I build CNNs, RNNs, LSTMs, Transformers, GANs, and YOLO-based models for computer vision, NLP, and time-series tasks. If you have a specific architecture in mind, message me first and we can confirm it fits your project.
Can you build a facial recognition system for attendance?
Yes. Of course, I can build a facial recognition system for attendance.
Do I need to provide a dataset?
Yes, please provide your dataset or describe your data source. I can also help with data collection, augmentation, and preprocessing as an add-on. The quality of training data directly impacts model accuracy.
Which frameworks and tools do you use?
I work with Python, TensorFlow, PyTorch, Keras, OpenCV, Scikit-learn, HuggingFace, and Roboflow. I will recommend the best tool for your specific machine learning or deep learning task.
What format will the model be delivered in?
I deliver models in .pt (PyTorch), .h5 or SavedModel (TensorFlow), and can also export to ONNX for cross-platform deployment. Python inference scripts and requirements.txt are always included.
What if the model accuracy is not satisfactory?
I work with you until we reach the best possible performance for your dataset. I include revisions in every package and am transparent about what accuracy is realistic given your data.
Can you handle computer vision projects like object detection?
Absolutely. Computer vision is one of my core specialties — I have built YOLO-based detectors, image segmentation models, OCR systems, and face recognition solutions for real-world applications.
What information do you need to get started?
Please share: your dataset (or description of it), the task (classification, detection, NLP, etc.), your target accuracy or business goal, and your preferred framework if you have one. The more detail you provide, the faster we can start.
