Lead Deep Learning Engineer
Designing whole learning systems to create state-of-arts prediction models.
- using transfer learning to achieve the best accuracy with a small dataset
- experimenting with various neural nets architectures (LSTM, CNN, Attention)
- creating and deploying deep learning models to check if data is correctly labeled
- using semi-supervised learning to make use of unlabeled data
- co-creating framework for rapid prototyping in PyTorch
- using active learning method to reduce needs of manually labeled data