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Scale By the Bay 2019

Erik Reppel

Coinbase
ML Platform Engineer
San Francisco, CA

Erik Reppel is an engineer on the Machine Learning and Platform team at Coinbase where he primarily works on improving the quality of ML tooling and deploying ML models at scale.

9:00am PST

The Times Are A-Changin' functional

9:40am PST

Enabling real time querying of Data using Apache Druid, Flink and Kafka data

10:20am PST

How to Eliminate Surprises In Your Data data

11:00am PST

From datasets to tables in a multitenant data lake data

11:40am PST

Vectorized Query Processing for CPUs and GPUs using Apache Arrow data

12:10pm PST

1:00pm PST

Was He Wright All Along? Software After Moore's Law data

1:40pm PST

A brief introduction to systems programming, with Scala Native functional

2:20pm PST

End-to-End ML Pipelines with KubeFlow and TensorFlow Extended (TFX) data

3:00pm PST

Apache Flink 2.0: Unified Enterprise Data Processing System and Beyond data

3:40pm PST

Swift for TensorFlow: Machine Learning with No Boundaries data

4:20pm PST

Hack Weekend: ML models on mobile data

5:00pm PST

Dagster: a Framework for Data Processing Applications reactive

5:40pm PST

Panel: Who Needs Serverless? functional

6:30pm PST

Happy Hour commons

9:00am PST

Kubernetes is a Platform Platform functional

9:40am PST

Human-Centric ML Infrastructure at Netflix data

10:20am PST

What is Functional Reactive Programming? functional

11:00am PST

Ludwig, a Code-Free Deep Learning Toolbox data

1:00pm PST

Discovering Your Model's Known Unknowns and Unknown Unknowns data

1:40pm PST

Reliable Machine Learning reactive

3:40pm PST

Reliable, High Scale Tensorflow Inference Pipelines at Twitter data

4:20pm PST

Build Your Own ML Data Feedback Loop data

5:00pm PST

Next-generation frameworks for Large-scale Machine Learning data

5:40pm PST

Panel: AI Product functional