About Me

Machine Learning frameworks: Keras, pytorch, MXNet, CNTK, Azure ML. Machine Learning packages: gensim, flair, spaCy, scikit-learn, xgboost, LightGBM, catboost. Languages: Python, C#, C. Neural Networks: Convolutional, Recurrent, Dense, autoencoders. ...catboost. Languages: Python, C#, C. Neural Networks: Convolutional, Recurrent, Dense, autoencoders. Machine Learning areas: mostly NLP, image recognition. Data Preparation: SQL, scikit-learn, pandas, numpy. Development Tools: Python, Jupyter notebook, Azure ML Studio, PyCharm, RStudio. DevOps, Production: Azure DevOps, AWS, Google Cloud Services: Kubernetes Engine, Docker, Git, CI/CD. I am looking for a Machine Learning Engineer and Data Engineer position. I have three years of extensive work experience in ML and Data Science and especially in NLP (Natural Language Processing) in startups, doing everything from research to the production services, from hiring to the project management. I’m an experienced developer with knowledge and skills in the high-performance, high-scalable, high-reliable enterprise development and integration. I have a mathematical, analytical mindset. I am methodical and deep digging. Pre-ML experience and accomplishments: Software Development, Integration Architecture, Systems Analysis, Systems Integration. Work experience in the industries: Job Market, Aerospace, Travel, Communication, Manufacturing, Healthcare, Financial, Real Estate, Advertising, Justice.