MC

Matt Curcio

Principal at Self Employed

San Francisco, California

Overview

Work Experience

  • Principal

    2023 - Current

  • Investor & Advisor

    2022

  • VP Engineering and Data Services

    2020 - 2022

    Managed a group of up to ~80 engineers. Launched new Liquidity product, created ML engineering teams and lead internal Finance and Compliance engineering in addition to all things Data.

  • Interim SVP Engineering

    2020 - 2020

    Led team of ~200 engineers including Blockchain, Product, Data, Ops, and InfoSec engineering. Grew team by ~50, increased engagement scores by 15 points and hired full time SVP to lead the team.

  • VP Data

    2017 - 2020

    Responsible for the Data Team which focuses on Data Engineering, Analytics and Data Science to guide the future of Digital Assets, blockchain, cross border payments, and The Internet of Value.

  • Principal Co-Founder

    2016 - 2020

    Data and technical consulting

  • Consultant, Acting Chief Data Officer

    2017 - 2017

  • Bum

    2016 - 2016

    Taking some time off and enjoying myself...

  • VP Research and Development/Chief Data Scientist

    2013 - 2016

    Responsible for Data Science against all Neustar products, research for new products, and directing IP strategy. Primary focus on identity, ads, privacy. Curate our research blog: http://research.neustar.biz/ (with a comment from Richard Stallman!) https://agkn.wordpress.com/2014/09/15/riding-with-the-stars-passenger-privacy-in-the-nyc-taxicab-dataset/ the genesis of this Gawker article: https://www.gawker.com/the-public-nyc-taxicab-database-that-accidentally-track-1646724546

  • Chief Scientist

    2010 - 2013

    Led R&D and IP team focused on big data algorithms for advertising. Resulting in streaming data framework for billions of events a day. Organized data streaming conference with Aggregate Knowledge and Foundation Capital. http://mysliceofpizza.blogspot.com/2013/06/data-science-summit-in-sf.html

  • Director of Research and Development

    2006 - 2010

    Research focused around large scale recommendation engine for content and ads.

  • Director of Research and Development

    2002 - 2006

    Responsible for predictive algorithms, neural networks, bayes nets and customer facing analytics primarily focused around apparel and human body dimension predictions.

  • Senior Research and Development Engineer

    2002 - 2004

    Algorithm Development for custom clothing business. Webservices in C#. Large scale database management. Data analysis for algorithm development and business performance monitoring.

Relevant Websites