Andrei Kukharev

Applying of deep learning methods to NLP/NLU tasks in the field of software testing. Solving tasks like NER, slot filling, seq2seq, text classification, text parsing and information extraction. Deeplearning models: CNN, LSTM, transformers BERT, GPT and others. Programming language: Python. DL/NLP frameworks and libraries: Pytorch, TensorFlow, Keras, Deeppavlov, Gensim, Spacy, NLTK, transformers, simpletransformers, etc.

Developed software for object detection and image recognition based on deep neural networks (Resnet, Inception, YOLO and others). Used ML frameworks: Tensorflow, Keras. Developed Python scripts for image dataset preprocessing. Tools: Numpy, PIL