Chris Goy
Senior Performance Engineer - XR Input at Unity
San Francisco, California, United States
Summary
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Rockstar🎓
Top SchoolChris Goy is a Senior Performance Engineer specializing in XR input at Unity with a decade of software engineering experience and a BS in Computer Science from NJIT. He focuses on making systems reliably performant, with hands-on expertise in memory management, tensor disposal, and back-end fixes showcased through contributions to Unity's popular ML-Agents open-source project. Based in San Francisco, Chris blends pragmatic engineering with code quality improvements—aligning projects to Unity coding standards and formatter tooling. He brings a quietly practical approach to complex problems, preferring to demonstrate impact through bug fixes and efficiency gains rather than flashy demos.
10 years of coding experience
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at New Jersey Institute of Technology
Stackoverflow
21reputation
556reached
2answers
0questions
Github Skills (17)
machine-learning10
dotnet-core10
csharp10
unity3d10
deep-reinforcement-learning9
memory-management9
deep-learning9
code-formatting8
tensorflow8
pycharm6
xcode6
iphone6
formatting6
python6
objective-c6
Programming languages (5)
Github contributions (5)
Unity-Technologies/ml-agents
Jul 2019 - Aug 2021
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 285 reviews, 258 commits in 2 years 2 months
Contributions summary:Chris focused on bug fixes related to memory management and tensor disposal within the inference brain, ensuring efficient resource usage. They also addressed formatting issues by integrating the Unity Formatter. Furthermore, the user made coding convention changes to align with Unity's coding standards, indicating a focus on code quality and maintainability within the project.
servedeep-reinforcement-learningtrainingunityreinforcement
surfnerd/homedir
Oct 2016 - Mar 2021
Contributions:18 pushes, 1 branch in 4 years 6 months
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