Timothy Hunter
Research Scientist - Machine Learning at European Centre for Medium-Range Weather Forecasts - ECMWF
Wassenaar, South Holland, Netherlands
Summary
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RockstarTimothy Hunter is a research scientist in machine learning with 11 years of experience building scalable AI and big-data systems, currently working at ECMWF in the Netherlands. An early Databricks engineer (#10), he played a hands-on role growing products and teams from startup scale to thousands of engineers and remains an active contributor to key open-source projects like Apache Spark, GraphFrames, Koalas and databricks' ML tooling. He combines deep back-end engineering—memory-leak fixes, algorithm implementations and ML benchmarking—with product and business sensibilities to lead interdisciplinary teams of ML researchers, data scientists and software engineers. Passionate about using AI to monitor global emissions, he seeks partners to operationalize climate-focused ML at planetary scale. A less obvious strength is his track record of improving developer tooling and testing infrastructure, which helps bridge research prototypes into reliable production systems.
11 years of coding experience
Github Skills (32)
graph-algorithms10
apache-spark10
spark10
python10
data-science10
scikit10
testing10
dataframes10
pandas10
big-data10
machine-learning10
pyspark10
data-structure10
java10
dataframe10
Programming languages (5)
Github contributions (5)
databricks/tensorframes
Mar 2016 - Aug 2017
[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 releases, 160 commits, 75 PRs in 1 year 5 months
Contributions summary:Timothy's commits primarily involve modifying and refactoring code within the `tensorframes` repository, a TensorFlow wrapper for DataFrames on Apache Spark. These changes include altering the internal structure, particularly in areas related to data type conversions and data manipulation operations. The user also implemented methods for block reduction and aggregation, showcasing efforts to expand the library's capabilities for processing data within TensorFlow computations. The contributions point to expanding the capabilities of the library's data processing capabilities.
dataframesapachemachine-learningsparkapache-spark
databricks/spark-sklearn
Nov 2015 - Sep 2017
(Deprecated) Scikit-learn integration package for Apache Spark
Role in this project:ML Engineer
ML EngineerContributions:79 commits, 18 PRs, 16 pushes in 1 year 10 months
Contributions summary:Timothy primarily contributed to the development and testing of a scikit-learn integration package for Apache Spark, specifically focusing on the `GridSearchCV` functionality. Their contributions included adding tests, modifying existing code, and integrating with Spark's parallel processing capabilities. These changes involved adapting existing scikit-learn tests for the Spark environment.
spark-mlapachesparkscikit-learnscala
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