Brandon Mayer
Summary
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SeniorBrandon Mayer is a Senior Software Engineer at Google with 14 years of experience bridging machine learning research and production systems. He holds a PhD from Brown in ML and computer vision and has published on medical image segmentation, game theory, climate informatics, and 3D change detection. Expert in C++ and Python, he focuses on scientific computing, visualization, probabilistic/Bayesian methods, and building practical ML-driven systems. At Google he has contributed to TensorFlow GNN—implementing converters, samplers, and Cloud Dataflow integration—demonstrating both ML engineering and DevOps chops. He also advises a stealth geometry-as-a-service startup and has applied his skills to climate forecasting visualization and security ML at Darktrace. Known for translating rigorous research into scalable tooling, he aims to develop the next generation of intelligent systems.
14 years of coding experience
Github Skills (12)
machine-learning10
dataflow-programming10
tensorflow10
dataflow10
apache-beam10
python10
gnn10
gcp9
cicd8
build-automation8
dockers7
docker7
Programming languages (5)
Github contributions (5)
tensorflow/gnn
Apr 2022 - Nov 2022
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Role in this project:
ML Engineer & DevOps Engineer
ML Engineer & DevOps EngineerContributions:44 commits in 7 months
Contributions summary:Brandon contributed significantly to the TensorFlow GNN library, implementing features such as TF-GNN converters, examples, and a sampler. Their work includes the development of build rules and initial sampling specifications. They integrated Google Cloud Dataflow runner support, adding sampling examples and refining the code. Furthermore, the user was responsible for general code cleanup and refactoring efforts.
gnngraph-neural-networktensorflowdeep-learningmachine-learning
brandonmayer-zz/ssapy
Nov 2011 - Aug 2013
Contributions:565 commits in 1 year 8 months
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