Visual Summary

  • 100%

    AI Research

  • 100%

    Data Science

  • 100%

    Tech Leader

  • 95%

    Backend

  • 90%

    Frontend

  • 80%

    Design

 

Experience

Salesforce

At Salesforce I work on the Einstein team, using the latest advances in ML to build exciting products relating to e-commerce. Recently, I have been focused on exploring generative applications of deep learning for automatic web design and improving our recommenders.

Shutterstock

At Shutterstock I worked as principal data scientist on the search team. Our group of machine learning experts and computer vision engineers develop next generation services empowering our professional media marketplace and platform offerings.

Ditto Labs

Social media is increasingly visual. But brands can’t listen to photos. Proprietary image recognition from Ditto discovers and tags brands, scenes and objects in the daily torrent of photos people share on social media for customer insights and engagement. At Ditto, I lead our research team of MIT trained computer vision scientists to develop next generation deep learning technologies enabling turn-key deployed ML solutions in the cloud at twitter scale.

Mustbin

In 2013 I joined the founding team of boston-based private social network software startup Mustbin. We are working to build a new ultra-secure platform for organizing your most vital information and treasured moments. At Mustbin I lead the R&D efforts with the team of inspired developers and designers responsible for building the Mustbin platform. After our launch in November we had a number of articles written about in media outlets such as Techcrunch, Xconomy, etc..My favorite PR is this article from china.  To find out more about the project watch the explainer video below (be careful, the theme is catchy). Currently we're building out the platform to include Android and Desktop clients.

  • Next generation "Quantum Computer Proof" crypto platform

  • 2014 MITX Award for Most Innovative App of the Year

Mathematica & Wolfram Alpha

For four years I worked with Stephen Wolfram, the youngest phd Caltech ever produced, to build a Computable Knowledge Engine, the first of its kind. As a coder in the Harvard-based elite Special Projects group of Wolfram Research, I worked on large-scale software projects Mathematica and Siri. The link in the video explain's Stephen's ideas.

  • Check out the Wolfram Science Summer School and the Mathematica Summer Camp, I was an instructor there in past years and I highly recommend them for graduate students of all fields.

PhD in Mathematics and Computer Science

I completed a doctorate in math and computer science at the University of Wyoming. Working under my advisor Craig Douglas, I researched how to solve computationally intractable problems with algorithms that harness the power of evolution to digitally evolve solutions. At UW I had the pleasure of studying under noted professor Farhad Jafari, my committee member, who gives wonderful lectures on functional analysis