Aayush Mudgal
Senior Machine Learning Engineer
Mountain View, California, United States
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Aayush Mudgal is a Senior Machine Learning Engineer at Pinterest, currently leading the efforts around Privacy Aware Conversion Modeling. He has a successful track record of starting and executing 0 to 1 projects, including conversion optimization, video ads ranking, landing page optimization, and evolving the ads ranking from GBDT to DNN stack. His expertise is in large-scale recommendation systems, personalization, and ads marketplaces. Before entering the industry, Aayush conducted research on intelligent tutoring systems, developing data-driven feedback to aid students in learning computer programming. He holds a Master's in Computer Science from Columbia University and a Bachelor of Technology in Computer Science from Indian Institute of Technology Kanpur.
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Deep Learning for Ads
In this session, we delve into the dynamic world of social media advertising. Facebook, Snap, Pinterest, Twitter, and many others generate the majority of their revenue from targeted ads. We will unpack how these companies harness the immense power of Deep Learning Models and big data to tailor relevant advertisements to their platform users. Enjoy a comprehensive walkthrough of the entire advertising funnel and the sophisticated Ads Serving Architecture, before diving deeper into the construction of Deep Learning Models for highly responsive and personalized ads. We will further discuss the challenges faced in industrial-scale models creation and how to meet low-latency requests. Join us as we unravel the complex algorithmic models that fuel social media advertising.
Aayush Mudgal
Senior Machine Learning Engineer
Mountain View, California, United States
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