Personal Information
Unternehmen/Arbeitsplatz
Bern Area, Switzerland Switzerland
Beruf
Deep learning engineer
Branche
Technology / Software / Internet
Webseite
http://www.garillot.net
Info
I get a kick out of diving in a large-scale analytics project, and making it scale reliably, using the best modern architectures and custom, scalable algorithms.
Apache Spark Streaming Contributor and first ever developer certified for Spark by Databricks & O'Reilly. Co-wrote a paper on Scala's type system with Martin Odersky.
Data Science & algorithmics work on internet advertisement auction models, customer segmentation at the largest ad retargeters in Europe. Works on mobility data in near real-time, with data flowing in at the scale of a country (15E12 records/day).
Tags
apache spark
big data
scala
télécommunications
containers
java
streams
expression problem
programming
types
rust
yarn
distributed computation
spark
deep learning
gpu
rnn
jvm
mesos
cluster
sgd
gpgpu
mobile
hadoop
mobility
strata
hashing
locality sensitive hashing
devops
machine learning
apache mesos
war story
software
data science
collections
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Präsentationen
(9)Gefällt mir
(4)MLconf NYC Animashree Anandkumar
MLconf
•
Vor 10 Jahren
Spark Streaming: Pushing the throughput limits by Francois Garillot and Gerard Maas
Spark Summit
•
Vor 8 Jahren
Data Science in 2016: Moving Up
Paco Nathan
•
Vor 8 Jahren
Recipes for Running Spark Streaming Applications in Production-(Tathagata Das, Databricks)
Spark Summit
•
Vor 8 Jahren
Personal Information
Unternehmen/Arbeitsplatz
Bern Area, Switzerland Switzerland
Beruf
Deep learning engineer
Branche
Technology / Software / Internet
Webseite
http://www.garillot.net
Info
I get a kick out of diving in a large-scale analytics project, and making it scale reliably, using the best modern architectures and custom, scalable algorithms.
Apache Spark Streaming Contributor and first ever developer certified for Spark by Databricks & O'Reilly. Co-wrote a paper on Scala's type system with Martin Odersky.
Data Science & algorithmics work on internet advertisement auction models, customer segmentation at the largest ad retargeters in Europe. Works on mobility data in near real-time, with data flowing in at the scale of a country (15E12 records/day).
Tags
apache spark
big data
scala
télécommunications
containers
java
streams
expression problem
programming
types
rust
yarn
distributed computation
spark
deep learning
gpu
rnn
jvm
mesos
cluster
sgd
gpgpu
mobile
hadoop
mobility
strata
hashing
locality sensitive hashing
devops
machine learning
apache mesos
war story
software
data science
collections
Mehr anzeigen