I am a computer scientist specializing in building machine learning powered products. I’m currently a machine learning developer at Local Logic.
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data-science
Mapping Press Releases in the 2015 Canadian Federal Election
The 2015 Canadian federal election is in its final stretch and college and I thought it would be a great opportunity to collect some data and do some machine learning. Citizen data science in action!
ReadHacking an epic NHL goal celebration with a hue light show and real-time machine learning
This post does a deep dive on the **epic goal celebration hack**. In a single sentence, I trained a machine learning model to detect in real-time that a goal was just scored by the Habs based on the live audio feed of a game and to trigger a light show using Philips hues in my living room.
ReadThe Too Good To Be True Filter
At Datacratic, one of the product we offer our customers is our real-time bidding (RTB) optimisation that can plug directly into any RTBKit installation. We’re always hard at work to improve our optimisation capabilities so clients can identify valuable impressions for their advertisers. Every bid request is priced independently and real-time feedback is given to the machine learning models. They adjust immediately to changing conditions and learn about data they had not been exposed to during their initial training. This blog post covers a strange click pattern we started noticing as we were exploring optimized campaign data, and a simple way we can use to protect our clients from it.
ReadFrom prototype to product: Building Datacratic's real-time machine learning platform
Slides from the talk I gave at the 2013 Canadian Conference on Artificial Intelligence.
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