Daniil Glazko

Daniil Glazko

Senior Software Engineer, Machine Learning @ Thomson Reuters

About Daniil Glazko

Daniil Glazko is a Senior Software Engineer specializing in Machine Learning at Thomson Reuters, where he manages cloud infrastructure and develops AI-based solutions. He has a background in software development and holds an Ontario College Diploma in Computer Systems Technician - Software Engineering from Sheridan College.

Work at Thomson Reuters

Daniil Glazko serves as a Senior Software Engineer in the Machine Learning division at Thomson Reuters. He has been with the company since 2019, where he is responsible for provisioning and managing the cloud infrastructure for the Center for Cognitive Computing and AI Research (C3). His role involves implementing and maintaining data and research pipelines that support various machine learning projects. Glazko also architects and deploys AI-based solutions, with a particular focus on Natural Language Processing (NLP) models.

Education and Expertise

Daniil Glazko studied at Sheridan College, where he earned an Ontario College Diploma in Computer Systems Technician - Software Engineering from 2017 to 2019. His educational background provides a foundation for his expertise in software engineering and machine learning, particularly in developing production-ready components in Python and working with NLP models.

Background

Before joining Thomson Reuters, Daniil Glazko worked as a Software Developer at Universe Projects Inc for seven months in 2019, located in the Ottawa, Canada Area. This role contributed to his experience in software development and prepared him for his current position in machine learning and AI.

Machine Learning Projects

In his current role, Daniil Glazko trains, evaluates, hosts, and updates machine learning models, specifically for Natural Language Processing (NLP). His work involves ensuring that these models are production-ready and effectively integrated into the systems at Thomson Reuters, contributing to advancements in cognitive computing and AI research.

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