Hi Ryan, Marcus and everyone else in the MLPack community, Permit me to start with a friendly introduction! My name is Patrick. I'm currently coming to the end of my MSc in Data Science at Birkbeck College, University of London. Prior to my MSc I was employed as a Support Engineer working for a logistics software company in London, and have held roles for the likes of Unilever and 20th Century Fox before that. I work mostly with Python and C++, but still wake up at night in sweats, remembering days gone past, whereby I've been lost for days in various jar files.
I've been working with my supervisor Professor George Magoulas on some EA implementation ideas, but given the popularity of the NEAT project, I wanted to see if there was a possibility of working on the string utility deliverable and integrate that as my MSc project? I think it could be a great way for me to get to know the community and library better, as well as submit something for the MSc, before trying to move on to some other areas. My proposal for work needs to be submitted by April 15, so would love to know if this is a possibility, as I'm not sure I'll be able to make it in time for GSOC '19. Cheers all and good luck to everyone applying to GSOC; some great ideas coming in. Best, Patrick
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