Rostyslav Neskorozhenyi

Rostyslav Neskorozhenyi

Machine Learning Engineer @ DeepSee.ai

About Rostyslav Neskorozhenyi

Rostyslav Neskorozhenyi is a Machine Learning Engineer with extensive experience in the field, currently working at DeepSee.ai. He has a strong academic background in Project Management and Economic Cybernetics, and has contributed to various open-source projects and publications related to Machine Learning.

Current Role at DeepSee.ai

Rostyslav Neskorozhenyi has been employed as a Machine Learning Engineer at DeepSee.ai since 2023. In this role, he applies his expertise in machine learning to develop innovative solutions. His current position allows him to leverage his skills in Graph Analytics, MLOps, Natural Language Processing, and Computer Vision.

Previous Experience in Machine Learning

Before joining DeepSee.ai, Rostyslav Neskorozhenyi worked at GlobalLogic as a Machine Learning Engineer from 2021 to 2023. His earlier experience includes a role as a Data Scientist at ai-labs.org from 2019 to 2021 and at ActiveWizards in 2019. These positions contributed to his extensive knowledge in machine learning applications.

Educational Background

Rostyslav Neskorozhenyi studied at the National Technical University of Ukraine 'Kyiv Polytechnic Institute', where he earned a Bachelor's degree in Economic Cybernetics from 2006 to 2011. He furthered his education at Kyiv National University of Construction and Architecture, achieving a Master's degree in Project Management from 2011 to 2013.

Open Source Contributions

Rostyslav Neskorozhenyi actively participates in Open Source projects related to Machine Learning. His involvement in these projects reflects his commitment to the field and contributes to the broader machine learning community.

Skills and Expertise

Rostyslav Neskorozhenyi possesses specialized skills in TypeDB and Neo4j, which are essential for managing complex data relationships. His expertise extends to Graph Analytics, MLOps, Natural Language Processing, and Computer Vision, making him a versatile professional in the machine learning domain.

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