Scale By The Bay 2019: Briac Marcatte Interview
FunctionalTV interview with Briac Marcatté.
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[Music] hi my name is Priya Marchetti I'm a hi my name is Priya Marchetti I'm a staff machine learning engineer at staff machine learning engineer at Twitter [Music] now this is my first time speaking at now this is my first time speaking at Scala at the bay and I heard about scale Scala at the bay and I heard about scale at the bay before and I've been at the bay before and I've been following the conference for go to Allah following the conference for go to Allah [Music] my favorite part of the talk is actually my favorite part of the talk is actually how we talked about reliability and how we talked about reliability and making tensorflow inference pipelines making tensorflow inference pipelines reliable through performance tests and reliable through performance tests and ability to deep dive into memory leaks my work helps of two engineered with a my work helps of two engineered with a use machine learning at scale without use machine learning at scale without having to think and about all the little having to think and about all the little details that make it hard to scale at details that make it hard to scale at low latency as well as I stroke i Patrick particularly like learning i Patrick particularly like learning about how stripe to use Scala for their about how stripe to use Scala for their onn expeditions hours I'm looking forward to help Twitter I'm looking forward to help Twitter engineers automate their machine engineers automate their machine learning workflows and make sure that learning workflows and make sure that they can focus specifically on the they can focus specifically on the machine learning modeling part and machine learning modeling part and without having to think about the without having to think about the infrastructure infrastructure [Music]
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