Taivanbat Badamdorj (TK)

My core interests are:

finding problems
solving them

I am deeply interested in building software and machine learning models that are simple, effective, and beautiful. Check out my blog!

Currently, I’m a Machine Learning Engineer at Electronic Arts (EA), working on applying agentic AI to video game testing.

Previously, I was a Machine Learning Research Engineer at RBC Borealis where I served as tech lead on ATOM - a foundation model for financial services.

I obtained my Master of Science degree in Computer Vision and Machine Learning from the University of Alberta. I have publications at top conferences such as CVPR, ICCV and EMNLP.

Two of the tools that I worked on during my undergrad are being used in a practical setting (Dead Sea Scrolls [1], [2], Wiener Library [1], [2]).

Outside of work I enjoy doing improv comedy, lifting heavy weights, and supporting the Edmonton Oilers.

news

Feb 02, 2026	Joined Electronic Arts (EA) as a Machine Learning Engineer, working on applying agentic AI to video game testing
Mar 01, 2024	Promoted to Machine Learning Research Engineer II at RBC Borealis (formerly Borealis AI)
May 01, 2022	Started a full time position as a Machine Learning Research Engineer at Borealis AI
Mar 01, 2022	One paper accepted to CVPR 2022
Jan 10, 2022	Started an internship as a Machine Learning Researcher at Borealis AI (January-April 2022)

selected publications

CVPR

Contrastive Learning for Unsupervised Video Highlight Detection

Taivanbat Badamdorj, Mrigank Rochan, Yang Wang, and 1 more author

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Bib PDF

@inproceedings{badamdorj2022contrastive,
  title = {Contrastive Learning for Unsupervised Video Highlight Detection},
  author = {Badamdorj, Taivanbat and Rochan, Mrigank and Wang, Yang and Cheng, Li},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

ICCV

Joint Visual and Audio Learning for Video Highlight Detection

Taivanbat Badamdorj, Mrigank Rochan, Yang Wang, and 1 more author

In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021

Bib PDF

@inproceedings{badamdorj2021joint,
  title = {Joint Visual and Audio Learning for Video Highlight Detection},
  author = {Badamdorj, Taivanbat and Rochan, Mrigank and Wang, Yang and Cheng, Li},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  pages = {8127--8137},
  year = {2021},
}

EMNLP

Automated Generation of Accurate & Fluent Medical X-ray Reports

Hoang TN Nguyen, Dong Nie, Taivanbat Badamdorj, and 4 more authors

In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021

Bib PDF

@inproceedings{nguyen2021automated,
  title = {Automated Generation of Accurate \& Fluent Medical X-ray Reports},
  author = {Nguyen, Hoang TN and Nie, Dong and Badamdorj, Taivanbat and Liu, Yujie and Zhu, Yingying and Truong, Jason and Cheng, Li},
  booktitle = {Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  year = {2021},
}

DH

Fast search with poor OCR

Taivanbat Badamdorj, Adiel Ben-Shalom, Nachum Dershowitz, and 1 more author

In Abstracts of Digital Humanities (DH), 2020

HTML PDF
ICSEE

Matching and Searching the Dead Sea Scrolls

Taivanbat Badamdorj, Adiel Ben-Shalom, and Nachum Dershowitz

In Proceedings of the IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE), 2018

PDF