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. Im 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. A Certified Technology Specialist (MCTS) in Microsoft BizTalk Server 2006: Charter Member. The Microsoft Most Valuable Professional [MVP] Award 2016 in Microsoft Azure. The Microsoft Most Valuable Professional [MVP] Awards 2013 - 2015 in Microsoft Integration. The Microsoft Most Valuable Professional [MVP] Awards 2007 - 2012 in BizTalk Server. Microsoft recognizes me as an independent expert in integration technologies.