I am a professional with great analytical, logical and creative skills, who likes to learn new concepts, technologies, and paradigms. I keep myself updated in the field of AI and data science through the best scientific articles available. Furthermore, I like to be at the forefront in the use of the best technologies and algorithms for the development of any solution. I believe I'm a good addition to any software development company, and especially if there is a focus on research and development in the fields of machine learning and computer vision. Technologies I'm familiar with: Python(+10 years, Django, Flask, openapi, keras, scikit-learning, pandas,opencv, boto3), PostgresSQL, MongoDB, Kafka, Redis, AWS (api gateway, lambda, cognito,s3, ses , sns, sqs, documentdb, dynamodb), GCP (functions, authentication, realtime database, nosql), Serverless, Kurbenetes, Docker. In addition, I know Java, C# and Dart(Flutter) as well. I have experience working with machine learning, data preparation, classification, deep learning using keras, image processing. In addition to choosing elective courses aimed at machine learning and image processing, both in undergraduate and master's, I have been studying machine learning since 2011 on my own. Nowadays, I follow some channels for recommending articles on arxiv and other open source sources, in addition to closely monitoring the work of DeepMind and OpenAI.