Paul Butler

Paul Butler Email and Phone Number

Member of Technical Staff @ Modal
New York, NY, US
Paul Butler's Location
New York, New York, United States, United States
Paul Butler's Contact Details

Paul Butler personal email

Paul Butler phone numbers

About Paul Butler

I'm a software engineer and former quant, now building infrastructure to make the next generation of browser-based apps not feel like browser-based apps.

Paul Butler's Current Company Details
Modal

Modal

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Member of Technical Staff
New York, NY, US
Paul Butler Work Experience Details
  • Modal
    Member Of Technical Staff
    Modal
    New York, Ny, Us
    View
  • Jamsocket
    Founder
    Jamsocket Oct 2021 - Present
    Server infrastructure to supercharge browser-based tools.
    View
  • Two Sigma
    Quantitative Analyst
    Two Sigma Oct 2016 - May 2021
    New York, Ny, Us
    View
  • Google
    Software Engineer
    Google Oct 2014 - Oct 2016
    Mountain View, Ca, Us
    Search team
    View

Paul Butler Skills

R Python Data Analysis Data Visualization Hadoop Mapreduce Mongodb Amazon Web Services Distributed Systems Data Mining Sql Hive Machine Learning Linux Entrepreneurship Software Engineering Analytics

Paul Butler Education Details

  • University Of Waterloo
    University Of Waterloo
    Math And Computer Science

Frequently Asked Questions about Paul Butler

What company does Paul Butler work for?

Paul Butler works for Modal

What is Paul Butler's role at the current company?

Paul Butler's current role is Member of Technical Staff.

What is Paul Butler's email address?

Paul Butler's email address is pa****@****gle.com

What is Paul Butler's direct phone number?

Paul Butler's direct phone number is +164778*****

What schools did Paul Butler attend?

Paul Butler attended University Of Waterloo.

What are some of Paul Butler's interests?

Paul Butler has interest in Mathematics, Computer Science, Data Mining, Analytics.

What skills is Paul Butler known for?

Paul Butler has skills like R, Python, Data Analysis, Data Visualization, Hadoop, Mapreduce, Mongodb, Amazon Web Services, Distributed Systems, Data Mining, Sql, Hive.

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