I will build and train custom deep learning models using pytorch and tensorflow
Machine Learning Engineer
About this Gig
Need a custom Deep Learning solution for your research, startup, or business?
I build accurate, scalable, and production-ready deep learning models tailored to your dataset and objectives.\
Services:
- Image classification
- Object detection
- Transfer learning & fine-tuning
- CNN & Vision Transformer models
- Data preprocessing & augmentation
- Hyperparameter tuning
- Model evaluation & optimization
Models:
ResNet, EfficientNet, MobileNet, DenseNet, ConvNeXt, Vision Transformers (ViT), YOLO, U-Net, and custom neural networks.
Tools:
Python, PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, and Jupyter Notebook.
You'll Receive:
- Clean source code
- Trained deep learning model
- Performance report
- Model weights
- Documentation
- Deployment-ready API integration
Please contact me before placing an order so we can discuss your project requirements and choose the best solution.
Programming language:
Python
•
Colab
APIs:
Other
Tools:
Jupyter Notebook
•
OpenCV
•
OpenNN
•
TensorFlow
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
•
TensorFlow
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What types of deep learning projects do you work on?
I specialize in image classification, object detection, image segmentation, medical image analysis, transfer learning, and custom neural network development using PyTorch and TensorFlow.
Which frameworks do you use?
I primarily work with PyTorch and TensorFlow/Keras. Depending on your project, I also use OpenCV, NumPy, Pandas, and other Python libraries.
Which pretrained models can you fine-tune?
I can fine-tune popular architectures such as ResNet, EfficientNet, MobileNet, DenseNet, ConvNeXt, Vision Transformers (ViT), YOLO, and other suitable models based on your project requirements.
Can you deploy the trained model?
Yes. Premium packages can include deployment using FastAPI, Flask, Docker, or Hugging Face Spaces, making your model ready for integration into applications.
Do you work on research or academic projects?
Yes. I can help implement deep learning models for research and experimental purposes.
