Building a high-performance, scalable ML & NLP platform with Python

I just had the opportunity to share some of our experiences building our machine learning and NLP stack at PyParis 2017 today.  I feel like we’ve come a long way and often this involved learning things the hard way so I tried to share the lessons we learned in this talk.  I hope there’s something in here that might be useful for small startups trying to balance complex and changing business requirements with interesting and not entirely standard technical problems.  If you have any thoughts, suggestions or improvements please drop us a line!

Once the recording of the talk is available from PyParis I’ll post a link here.