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I will build deep learning models using tensorflow, pytorch, CNN, lstm and transformers
Hi, I’m Rizwan Shah, an AI Engineer and Computer Vision Specialist helping clients build reliable AI, ML, deep learning, OCR, and object detection solutions. I offer services in data preprocessing, fe...
About this Gig
Are you looking for a custom deep learning model for image classification, medical AI, computer vision, OCR, sequence modeling, EEG/signal analysis, or research implementation? I will design, train, evaluate and optimize deep learning models using TensorFlow, PyTorch, Keras and modern neural network architectures.
My services include:
- ANN, CNN, RNN, LSTM, GRU and Autoencoder model development
- Transformers, Vision Transformers, attention mechanisms and transfer learning
- Image classification, segmentation, OCR, gesture recognition and visual inspection models
- Medical AI, disease detection, EEG analysis and sequence modeling
- Fine-tuning, model evaluation, performance optimization and deployment-ready code
- Research model implementation, publication support, documentation and reusable Python notebooks
This gig is suitable for startups, researchers, students, healthcare projects, computer vision tasks and real-world AI systems.
Please contact me before placing an order so I can review your dataset, project goal and model requirements.
Programming language:
Python
•
SQL
•
Colab
•
NoSQL
•
MLflow
Tools:
Jupyter Notebook
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OpenCV
•
TensorFlow
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SimpleCV
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CVAT
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Colab
Frameworks:
Scikit-learn
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Keras
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PyTorch
•
Panda
•
TensorFlow
Other Data Science & ML Services I Offer
FAQ
Q1: What types of deep learning models can you build?
I can build ANN, CNN, RNN, LSTM, GRU, Autoencoder, Transformer and Vision Transformer based models.
Q2: Which frameworks do you use?
I work with TensorFlow, PyTorch, Keras, OpenCV and ONNX depending on the project.
Q3: Can you work on image classification or computer vision tasks?
Yes. I can build models for image classification, segmentation, OCR, gesture recognition, visual inspection and medical imaging tasks.
Q4: Do you provide model training and evaluation?
Yes. I can train the model, evaluate it using suitable metrics and provide results with visualizations.
Q5: Can you fine-tune a pre-trained model?
Yes. I can fine-tune pre-trained models using transfer learning for better performance on your custom dataset.
Q6: Can you help with research or thesis projects?
Yes. I can implement research models, support thesis work and prepare experiment documentation.
Q7: Will I receive the source code?
Yes. You will receive clean and reusable Python code depending on the selected package.
Q8: Should I contact you before ordering?
Yes, please contact me first so I can review your dataset, model goal and recommend the best package.
