Summary
Taivanbat Badamdorj is a machine learning engineer with a decade of experience who blends academic rigor—an MS in Computer Vision and Machine Learning from the University of Alberta and publications at CVPR, ICCV and EMNLP—with hands-on product impact. He led development of ATOM, a foundation model for financial services at RBC Borealis, and now applies ML at scale as an engineer at Electronic Arts. His research has translated into deployed tools for cultural heritage and historical archives (Dead Sea Scrolls, Wiener Library), showing a knack for solving noisy, real-world vision problems. Comfortable moving between research and production, he has a track record of state-of-the-art work in audio-visual highlight detection and clinically accurate medical report generation. Outside of ML he builds and rides acoustic bikes and contributes to education through past curriculum and tooling for coding instruction.
10 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Computer Vision and Machine Learning, Master of Science - MS, Computer Vision and Machine Learning at University of Alberta
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Tel Aviv University