Sara Robinson
Software Engineer at Google
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSara Robinson is a Software Engineer in San Francisco with 12 years of experience blending developer advocacy and hands-on engineering at Google, where she transitioned from a long-running Developer Advocate role into software engineering. She builds and ships ML and full‑stack solutions—contributing Keras-based text classifiers, Vertex AI SDK improvements, and demonstrative notebooks for Google’s What‑If Tool and ML design pattern repos. Her open-source work spans mobile (iOS Cloud Vision samples), Ember-Firebase integration, and production-focused pipeline tooling, showing comfort from prototype demos to SDK tests. Known for translating complex ML concepts into usable examples and developer-facing features, she pairs strong communication skills from her advocacy background with practical engineering that improves model explainability and developer experience.
12 years of coding experience
9 years of employment as a software developer
International Business, International Business at Danish Institute for Study AbroadBachelor of Arts (B.A.), Summa Cum Laude, International Studies with Highest Honors and Business, Bachelor of Arts (B.A.), Summa Cum Laude, International Studies with Highest Honors and Business at Brandeis University
Stackoverflow
2,759reputation
299kreached
25answers
25questions
firebase
top-5%
google-bigquery
top-5%
Github Skills (54)
objective-c10
javascript10
ios10
data-pipelines10
pytest10
python10
testing10
tfx10
scikit10
machine-learning10
user-authentication10
authentication10
text-classification10
keras10
emberjs10
Programming languages (9)
Github contributions (5)
GoogleCloudPlatform/ml-design-patterns
Mar 2020 - Sep 2020
Source code accompanying O'Reilly book: Machine Learning Design Patterns
Role in this project:
ML Engineer
ML EngineerContributions:32 commits, 23 pushes in 6 months
Contributions summary:Sara primarily contributes to the development and implementation of machine learning models and related code. The commits focus on building and refining notebooks for machine learning design patterns. The contributions include creating notebooks for mixed input representations, fixing examples, adding licensing, and integrating the code into the repository.
machine-learning-bookmachine-learningpatternsdesign-patternso-reilly
googleapis/python-aiplatform
Feb 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:1 release, 91 reviews, 75 commits in 11 months
Contributions summary:Sara primarily focused on enhancing the Google Cloud Vertex AI Python SDK for machine learning pipelines. Their contributions include adding features for better log visibility in TFX pipelines, implementing methods to check the status of jobs, and addressing documentation issues. They also introduced tests, including those for TFX pipelines, demonstrating an understanding of the underlying technologies and contributing to improved functionality.
pythonend-to-endsciencedata-sciencemachine-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.