Tatiana Gabruseva is a machine learning engineer specializing in computer vision and deep learning. She works as a Staff Software Engineer in Machine Learning at LinkedIn, where she focuses on recommender systems, multimodal alignment, and AI system benchmarking. Her earlier industry work includes serving as a Senior ML Engineer at Cork University Hospital, applying machine learning to healthcare.

Tatiana began her career in science, completing a physics PhD and authoring more than 27 peer-reviewed publications before transitioning into industry. She translated that academic foundation into production engineering skills across Scala, Spark, Kubernetes, ETL pipelines, and MLOps, and she mentors others making the same leap from academia to applied machine learning.

An accomplished competitor, Tatiana is a Kaggle Competitions Master and the winner of the Sound Demixing Challenge 2023. She regularly shares practical advice on career transitions, Kaggle projects, portfolio building, and interview preparation for machine learning roles.