scala.bythebay.io: Tim Delisle Interview

you my name's Tim I'm the CEO and co-founder my name's Tim I'm the CEO and co-founder of data log my path was quite of data log my path was quite interesting um I was introduced to scala interesting um I was introduced to scala by one of my friends Nicholas who's to by one of my friends Nicholas who's to the CTO and co-founder of get links and the CTO and co-founder of get links and he just touted the beauty and simplicity he just touted the beauty and simplicity of actor systems like occas and so I was of actor systems like occas and so I was kind of introduced to scala by just kind of introduced to scala by just wanting to learn about akka and how we wanting to learn about akka and how we might be able to leverage some of those might be able to leverage some of those programming paradigms to scale out data programming paradigms to scale out data logs data processing capabilities and I logs data processing capabilities and I just started to learn Scala kind of has just started to learn Scala kind of has a function of wanting to use acha so my a function of wanting to use acha so my ideal sack is very very diverse just ideal sack is very very diverse just because I felt very very many holes with because I felt very very many holes with an organization anywhere from kind of a an organization anywhere from kind of a deep learning researcher to a backend deep learning researcher to a backend engineer and also a front-end engineer engineer and also a front-end engineer so my ideal stack is just finding the so my ideal stack is just finding the right tool to solve the the right right tool to solve the the right problem for us the back end in the back problem for us the back end in the back end that's generally Scala Anaka and for end that's generally Scala Anaka and for all my other roles then that the staff all my other roles then that the staff differs greatly so we use tensor fro for differs greatly so we use tensor fro for deep learning we use polymer on the deep learning we use polymer on the front end that kind of stuff company front end that kind of stuff company it's it's neither i'm really excited to it's it's neither i'm really excited to learn about some of the progress that learn about some of the progress that spark is making so there's a talk about spark is making so there's a talk about beyond shuffling and how IBM might go beyond shuffling and how IBM might go out and help scale spark there's also a out and help scale spark there's also a great data frame spark talk that I'm great data frame spark talk that I'm looking forward to looking forward to you you