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Rallis Pappas is a seasoned executive and leader in the field of Artificial Intelligence and Machine Learning, currently serving as the Head of AI/ML at eBay. With a distinguished career spanning over 18 years, he has held significant leadership positions at major technology companies, including Microsoft and Yahoo. At eBay, Rallis is responsible for driving the company's AI strategy, innovation, and execution across its global marketplace. His work involves leveraging cutting-edge AI/ML technologies to enhance user experiences, improve search and recommendations, optimize operations, and ensure trust and safety on the platform. Prior to eBay, Rallis made substantial contributions at Microsoft, where he led teams working on AI platforms and solutions. His expertise encompasses a wide range of AI disciplines, including natural language processing, computer vision, deep learning, and large-scale distributed systems. He is known for his ability to build and scale high-performing AI teams and to translate complex technological advancements into tangible business value and impactful products.
Rallis Pappas's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads the global Artificial Intelligence and Machine Learning strategy, teams, and product integration for eBay, focusing on areas like search, recommendations, computer vision, NLP, and trust & safety to enhance the e-commerce experience for millions of users.
Previously held leadership roles at Microsoft, contributing significantly to the development and scaling of AI platforms and services, empowering developers and businesses with advanced AI capabilities.
Played key roles in research and engineering at Yahoo (later Oath/Verizon Media), focusing on search technologies, advertising platforms, and machine learning applications, contributing to the company's innovation in data-driven products.
Consistently driven the application of state-of-the-art AI/ML research to solve real-world problems at scale, delivering significant improvements in product performance, user engagement, and operational efficiency across multiple organizations.
Recognized for building, scaling, and mentoring world-class AI and engineering teams, fostering a culture of innovation, collaboration, and technical excellence.
College of Charleston - Year 1974
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