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👋 I'm Simon.

I work on Systems for Machine Learning @anyscale.

  • Ray takes your Python code and scale it to thousands of cores.
  • Ray Serve empowers data scientists to own their end-to-end inference APIs.

I love doing research @ucbrise:

Reach out to me: at


  1. An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyp…

    Python 21k 3.7k

  2. Modin: Scale your Pandas workflows by changing a single line of code

    Python 7.5k 530

1,569 contributions in the last year

Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Mon Wed Fri

Contribution activity

June 2022

Created 1 repository

Created a pull request in ray-project/ray that received 14 comments

Revert "Revert "Revert "use an agent-id rather than the process PID (#24968)"…"

Reverts #25376 This has broke macOS "Ray C++, Java and Libraries" build.

+42 −73 14 comments
Reviewed 64 pull requests in 2 repositories
ray-project/ray 25 pull requests
ray-project/kuberay 3 pull requests

Created an issue in ray-project/ray that received 3 comments

[Serve] Replicas with Stable Identifiers

Description In Serve, replicas are assigned random identities. This makes is hard to address any of them individually. One can imagine the followin…

6 contributions in private repositories Jun 2 – Jun 22

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