Gungor Polatkan is a machine learning expert and engineering leader with experience in building massive-scale distributed data pipelines serving personalized content at LinkedIn and Twitter. Most recently, he led the design and implementation of the AI backend for LinkedIn Learning and ramped up the recommendation engine from scratch to hyperpersonalized models learning billions of coefficients for 500M+ users. He deployed some of the first deep ranking models for search verticals at LinkedIn improving talent search. He enjoys leading teams, mentoring engineers, and fostering a culture of technical rigor and craftsmanship while iterating fast. Previously, he worked in several notable applied research groups at Twitter, Princeton, Google, MERL, and UC Berkeley. He has published and refereed papers at top-tier ML and AI venues, such as UAI, ICML, and PAMI.
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