I will do deep learning and generative modeling

• I design and train deep learning models for both predictive and generative tasks using PyTorch and TensorFlow.

Core areas: CNNs and RNNs for classification, detection, and time-series/sequence modeling; transfer learning and fine-tuning on custom datasets; generative modeling including GANs, VAEs, and diffusion-based approaches for image synthesis and data augmentation; and transformer-based models for text classification.

I've built and trained models for real production use cases, including object detection and custom model training on domain-specific datasets such as agricultural and drone imagery, not just notebook prototypes.

What you get: a trained model with clear documentation, performance metrics, and working code you can run and extend, plus clear communication and revisions until the result meets your goal.

Message me with your dataset and use case before ordering so I can recommend the right architecture and set accurate expectations.