Jaycee Li
Software Engineer at Sinova
Sunnyvale, California, United States
Summary
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RockstarJaycee Li is a software engineer based in Sunnyvale with four years of experience building cloud-native ML tooling and services. Currently at Sinova and contributing to Google's Vertex AI Python SDK, Jaycee has shipped practical features like batch prediction batch_size controls and a PipelineJob clone method that improve scalability and developer ergonomics. Comfortable across SDK and ML-infra boundaries, they focus on making complex Vertex AI workflows more reproducible and testable. Their hands-on contributions to a prominent open-source Google Cloud SDK demonstrate both production-grade coding discipline and a knack for subtle API ergonomics that reduce friction for ML teams.
4 years of coding experience
Github Skills (9)
vertex-ai10
machine-learning10
google-cloud-platform10
sdk10
python10
ml10
gcp10
pytest9
testing9
Programming languages (4)
Github contributions (5)
googleapis/python-aiplatform
May 2022 - Jan 2023
A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning.
Role in this project:
ML Engineer
ML EngineerContributions:67 reviews, 30 commits, 40 PRs in 8 months
Contributions summary:Jaycee primarily contributed to the Google Cloud Vertex AI Python SDK, focusing on batch prediction jobs and pipeline jobs. They implemented a `batch_size` keyword argument for batch prediction jobs, including corresponding unit tests and code modifications. They also added a `clone` method for `PipelineJob`, demonstrating a focus on Vertex AI features.
pythonend-to-endsciencedata-sciencemachine-learning
jaycee-li/python-aiplatform
May 2022 - Jul 2023
A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning.
Contributions:15 PRs, 156 pushes, 27 branches in 1 year 2 months
pythonend-to-endsciencedata-sciencemachine-learning
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