About

I am currently a software engineer at Databricks.

Prior to that, I did a Ph. D. in Machine Learning, in the Department of Computer Science at the University of California at Berkeley. My advisors are Pieter Abbeel and Alexandre Bayen.

In the course of my work, I have created or co-created a few projects around data science and Machine Learning.

Koalas: provides pandas-like APIs on top of Apache Spark.
Graphframes: a distributed graph processing interface built on top of Apache Spark
spark-sklearn: a collection of wrappers around scikit-learn
TensorFrames: a low-level integration between Google Tensorfow and Spark
Deep Learning Pipelines: a Spark MLlib-like interface that provides Deep Learning capabilities to Apache Spark.

Contact

I currently reside in Amsterdam, the Netherlands. You can reach me through one of the following methods:

E Mail: tjhunter@eecs.berkeley.edu

Social networks: I am also on LinkedIn and Viadeo.

Talks

Here are a few talks I have given recently.

Geospatial analytics

Geospatial Analytics at Scale with Deep Learning and Apache SparkRaela Wang Databricks,Tim Hunter Da 2019 https://www.youtube.com/watch?v=UMIhAyrv6wY

Geospatial Analytics at Scale with Deep Learning and Apache Spark-Tim Hunter & Raela Wang-Databricks https://www.youtube.com/watch?v=deZGxio8BWo

Deep Learning

TensorFrames: Deep Learning with TensorFlow on Apache Spark (Tim Hunter) Spark Summit 2016 https://www.youtube.com/watch?v=gXItObf-qaI

Tuning and Monitoring Deep Learning on Apache Spark: Spark Summit East talk by Tim Hunter 2017 https://www.youtube.com/watch?v=iMoXWOezMXY

Expanding Apache Spark Use Cases in 2.2 and Beyond - Matei Zaharia, Tim Hunter & Michael Armbrust 2017 https://www.youtube.com/watch?v=qAZ5XUz32yM

Webinars

Deep Learning on Apache® Spark™- Best Practices (Data Science Central webinar): https://vimeo.com/235852704

DSC Webinar Series: From Pandas to Apache Spark (Data Science Central webinar): https://vimeo.com/345979096

An older presentation with my colleague Alex Purkiss at the UK Authority about the value of the cloud for doing geospatial estimation. https://vimeo.com/296648633