Tal Barami
Ph.D. Researcher in Computer Science
Education
Professional Experience
Conducted research within the Playtika Research Group on feature disentanglement in generative models for 3D content creation. Designed and implemented a segmentation-based method for human pose estimation from 3D data.
Developed and deployed machine learning models for uplift modeling and churn prediction at scale. Built internal automation tooling to streamline key research phases including data acquisition, feature engineering, model training, evaluation, and reporting, significantly reducing iteration time.
Developed and maintained features for flagship enterprise products managing production-line operations across large-scale manufacturing facilities worldwide. Worked across full-stack components in a cross-functional R&D team.