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    Kayur Patel

    Usable ML Hipster at Apple with a rich background in machine learning and data science

    Kayur Patel is currently a professional at Meta, working in Seattle, Washington, as an Unstable Chimera. His background is rich in machine learning and human-computer interaction, with a focus on creating user-friendly products that leverage advanced technologies.

    Professional Background

    • Meta: In his current role, Patel is involved in projects that likely intersect machine learning and user experience design.
    • Apple: He previously worked as a Usable ML Hipster from June 2017 to June 2023, where he focused on integrating machine learning into user experiences and contributed to the development of new human-interface guidelines presented at the Worldwide Developers Conference (WWDC) .1
    • Google: Before Apple, he was a Blacksmith at Google from December 2012 to June 2017, where he led the Colaboratory team and was instrumental in teaching large-scale machine learning courses .1
    • Education: Patel holds a Ph.D. in Computer Science from the University of Washington and has degrees from Carnegie Mellon University and Stanford University, focusing on AI and human-computer interaction .1

    Skills and Interests

    Patel's expertise lies in:

    • Machine Learning
    • User Experience Design
    • Data Science Education

    His career reflects a commitment to making complex technologies accessible and effective for users, demonstrating a blend of technical skill and design thinking.

    Related Questions

    What projects has Kayur Patel worked on at Meta?
    How did Kayur Patel's role at Apple influence his work at Meta?
    What is Kayur Patel's background in machine learning?
    How did Kayur Patel contribute to Google's AI initiatives?
    What are some notable achievements of Kayur Patel in his career?
    Kayur Patel
    Kayur Patel, photo 1
    Kayur Patel, photo 2
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    Experience

    Usable ML Hipster at Apple (June 2017 - June 2023)
    Blacksmith at Google (December 2012 - June 2017)

    Education

    Ph.D. in Computer Science from University of Washington (2005 - 2012), MS in Computer Science (AI) from Stanford University (2003 - 2005), BS in Computer Science and Human Computer Interaction from Carnegie Mellon University (1999 - 2003)

    Location

    Seattle, Washington, United States