Deepak Kumar
About Deepak Kumar
Deepak Kumar serves as the Vice President of AI and Data at Handshake, where he has worked since 2021. He holds a PhD from Northwestern University and has extensive experience in artificial intelligence and data analytics, having previously held key positions at Google and LinkedIn.
Work at Handshake
Deepak Kumar serves as the Vice President of AI and Data at Handshake, a position he has held since 2021. In this role, he focuses on leveraging Generative AI technologies to improve the core experiences for employers and early career talent on the Handshake platform. He has developed advanced machine learning algorithms and infrastructure aimed at transforming the early career hiring marketplace.
Education and Expertise
Deepak Kumar earned a PhD from Northwestern University, where he studied Statistical Models for Automotive Demand and Product Development. His academic background provides a strong foundation for his work in data analysis and artificial intelligence, contributing to his expertise in developing innovative solutions in these fields.
Background in Technology and Data Analysis
Before joining Handshake, Deepak Kumar worked at Google as a Staff Quantitative Analyst from 2007 to 2012. During his tenure, he contributed to significant projects that addressed the incremental value of paid search and the advantages of dedicated sales teams for advertisers. He later served as Senior Director of Engineering - Artificial Intelligence at LinkedIn from 2012 to 2021, where he led innovations in bidding algorithms and ad-density optimization.
Leadership and Team Development
Throughout his career, Deepak Kumar has built and guided teams of scientists and developers. He has focused on identifying technological directions that drive business growth. His leadership at LinkedIn involved overseeing the development of real-time personalization technologies that had a material impact on the company's operations.
Research Experience
Deepak Kumar began his career as a Research Fellow at Northwestern University from 2003 to 2007. In this role, he engaged in research that laid the groundwork for his later achievements in machine learning and data analysis, further enhancing his capabilities in the tech industry.