Aish Fenton
Member Of Technical Staff at OpenAI
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAish Fenton is a seasoned AI and machine learning leader with 14 years of experience building and scaling high-impact recommendation and consumer AI systems, most recently leading Netflix’s Consumer AI org and now founding a new team at OpenAI. She combines deep applied-research rigor—publishing and shipping industry-first causal inference and low-latency search solutions—with hands-on engineering discipline, having moved models from prototypes into sub-millisecond production code. Aish has grown organizations from founding teams to 100+ members, developed management layers and developer productivity tooling, and mentored managers into directors and engineers into principal roles. A math enthusiast and Scala fan, she contributes to open-source tooling such as vegas-viz/Vegas, extending plotting DSLs for Scala+Spark and improving Spark/Zeppelin integrations. She holds an MSc in Computer Science (first-class honors) and a BMus, reflecting a blend of analytical depth and creative thinking that informs her product-focused research leadership.
14 years of coding experience
16 years of employment as a software developer
Master of Science (MSc), Computer Science, First class honors, Master of Science (MSc), Computer Science, First class honors at University of Auckland
Github Skills (6)
data-visualizations10
data-visualization10
data-visualisation10
spark10
plot10
scala10
Programming languages (14)
Github contributions (5)
vegas-viz/Vegas
Apr 2016 - Mar 2017
The missing MatPlotLib for Scala + Spark
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:8 releases, 54 commits, 50 PRs in 11 months
Contributions summary:Aish enhanced the Vega plotting library for Scala + Spark by adding detail DSL functionality, allowing for more granular control over plot elements. They implemented features to specify detail fields, which enables the grouping and aggregation of data within visualizations. The user also addressed issues related to Spark and Zeppelin integration, ensuring the library functions correctly within these environments. Furthermore, the user added shorthand syntax for sortOrder, streamlining plot configuration.
matplotlibscalasparkplottingdatascience
aishfenton/Argus
Aug 2016 - May 2018
Builds models from JSON Schemas
Contributions:4 releases, 8 commits, 2 PRs in 1 year 9 months
json-schemascalajson-encoder
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