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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machine-learning
Balance, a sustainable personal finance app
A few months back, I took some time to explore a product idea that had been in the back of my head for a while, looking at a problem that is dear to my heart: climate change. I spend a few months exploring it, working on the business model, talking to potential users, and building out a technical POC to de-risk some of the core mechanics behind the product design. I learned a lot and I think it’s worthwhile to document where I got while it’s all fresh in memory.
ReadEpic Goal Celebration Hack Update: ESPN coverage
ESPN did a mini-documentary on the Epic Goal Celebration Hack.
ReadPyCon Canada 2016: Building a real-time image classification web app with Python and MLDB.ai
In this tutorial, we will build a real-time machine learning web app using Python and MLDB.ai. We will use MLDB's Tensorflow integration to use a deep learning model to embed images in a high dimensional conceptual space, and use that representation as features to do transfer learning. This will allow us to build a real-time image classification endpoint.
ReadHuman augmentation through artificial intelligence
Showcase of two posts I published recently that relate to a very interesting and important machine learning topic: human augmentation through artificial intelligence.
ReadPyCon Canada 2015: Epic NHL goal celebration hack
Video and slides of my PyCon Canada 2015 talk on the "Epic NHL goal celebration hack with a hue light show and real-time machine learning".
ReadMapping 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!
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