Torry Yang
Software Engineer at Lyft
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolTorry Yang is a software engineer with a decade of experience building developer-facing ML tooling and cloud integrations, currently at Lyft after a multi-year tenure at Google improving the machine learning developer experience on Google Cloud. He has hands-on expertise across AutoML, BigQuery ML, Cloud ML Engine/Vertex AI and client libraries, and has authored widely used codelabs and over 200 code samples that helped onboard thousands of developers. Torry’s open-source contributions span backend, full-stack and MLOps work in high-profile GoogleCloudPlatform and googleapis repos, including adding vision clients, AutoML features, and LRO/deployment support for Vertex AI. He combines production engineering with developer advocacy—streamlining notebook workflows and CI for large sample repos—and has a track record of automating build/test pipelines and improving prediction tooling. A machine learning enthusiast and snowboarder based in New York, he also brings research experience accelerating automata-based land cover prediction and pragmatic documentation that boosts adoption.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Virginia
English, Chinese
Stackoverflow
375reputation
18kreached
7answers
2questions
Github Skills (44)
continuous-deployment10
xgboost10
google-api10
github-ci10
google-cloud-platform10
docker10
pytest10
python10
machine-learning-models10
apidoc10
gcloud10
testing10
sample-size10
machine-learning10
bash10
Programming languages (9)
Github contributions (5)
GoogleCloudPlatform/ai-platform-samples
Apr 2020 - Feb 2021
Official Repo for Google Cloud AI Platform. Find samples for Vertex AI, Google Cloud's new unified ML platform at: https://github.com/GoogleCloudPlatform/vertex-ai-samples
Role in this project:
DevOps Engineer
DevOps EngineerContributions:14 reviews, 72 commits, 52 PRs in 10 months
Contributions summary:Torry primarily focused on automating and configuring the build and test processes for the repository. Their commits involve the modification of the `trampoline_v2.sh` script, which manages the Docker image build, testing, and potential image uploads within a CI/CD environment. Further contributions include modifying the `run_notebooks_only_diff.sh` script, which suggests the user is responsible for automating the testing of the notebook files. The user also works on incorporating configurations for various CI environments, including GitHub Actions and Google Cloud Platform.
gcpgooglecloudplatformgoogle-cloud-platformai-platformmachine-learning
GoogleCloudPlatform/cloudml-samples
Feb 2018 - Dec 2019
Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
Role in this project:ML Engineer
ML EngineerContributions:12 commits, 9 PRs, 16 pushes in 1 year 9 months
Contributions summary:Torry's commits primarily focus on enhancing and documenting an XGBoost model within the Cloud ML Engine framework. Their work includes adding and verifying online prediction capabilities using an XGBoost model trained on the Census Income dataset. They also provided clarification and adjustments to the existing documentation, ensuring users understand the setup and operational details of the model deployment.
gcpcloudml-samplescloudmldeep-learninggooglecloudplatform
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