Taivanbat Badamdorj (Tk)

Machine Learning Research Engineer I @ Borealis AI

About Taivanbat Badamdorj (Tk)

Taivanbat Badamdorj is a Machine Learning Research Engineer I currently employed at Borealis AI in Vancouver, British Columbia. He has a background in Electrical and Electronics Engineering and Computer Vision, with experience as a research assistant and instructor, and has published work in notable conferences.

Current Role at Borealis AI

Taivanbat Badamdorj holds the position of Machine Learning Research Engineer I at Borealis AI. He has been in this role since 2022 and is based in Vancouver, British Columbia, Canada. In this capacity, he focuses on developing machine learning models and methodologies, contributing to various projects within the organization.

Previous Experience at Borealis AI

Prior to his current role, Taivanbat Badamdorj worked as a Machine Learning Research Intern at Borealis AI for four months in 2022. During this internship, he gained practical experience in machine learning applications and research, further enhancing his skills in the field.

Education and Expertise

Taivanbat Badamdorj earned a Bachelor's degree in Electrical and Electronics Engineering from Tel Aviv University, studying from 2015 to 2019. He then pursued a Master of Science in Computer Vision and Machine Learning at the University of Alberta, completing his studies from 2019 to 2021. His academic background provides a strong foundation for his work in machine learning.

Research Experience at Tel Aviv University

From 2016 to 2019, Taivanbat Badamdorj served as a Research Assistant at Tel Aviv University, focusing on computer vision and machine learning. This role allowed him to engage in research projects that contributed to his understanding and expertise in these areas.

Teaching Experience at Discover Coding

Taivanbat Badamdorj worked as an Instructor and Lesson Developer at Discover Coding in Edmonton, Alberta, Canada, from 2020 to 2021. In this role, he developed educational materials and taught coding concepts, sharing his knowledge with students and fostering their interest in technology.

Publications and Contributions

Taivanbat Badamdorj has contributed to the academic community with publications at prestigious conferences such as CVPR, ICCV, and EMNLP. His research work reflects his commitment to advancing knowledge in machine learning and computer vision.

Focus on Time Series Problems

In his current research, Taivanbat Badamdorj specializes in time series problems within the field of machine learning. His work addresses the complexities of analyzing and predicting data that is indexed in time order, which is a critical area of study in various applications.

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