Sina Chavoshi
Technical Program Manager Software Engineer at Google
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolSina Chavoshi is a Technical Program Manager and Software Engineer with nine years of experience orchestrating machine learning partnerships and integrations at Google Cloud, after product and engineering roles at Amazon, Expedia, and Microsoft. He blends hands-on ML engineering—evidenced by contributions to kubeflow/pipelines and the googleapis python-aiplatform SDK—with program leadership across advertising, search, and security domains. His background spans building consumption predictive models, NLP-driven search and review summarization, and large-scale system integrations that led to two patent-pending ideas at Amazon. Armed with an MBA focused on Business Analytics and a technical foundation in CS/physics/math from the University of Toronto, he navigates both strategic program delivery and technical implementation. Colleagues rely on him to translate research-grade ML workflows into production-ready pipelines and partner-ready SDK features.
9 years of coding experience
10 years of employment as a software developer
Master of Business Administration (M.B.A.), Business Analytics (Big Data+ML), Master of Business Administration (M.B.A.), Business Analytics (Big Data+ML) at Seattle UniversityBachelor of Science (BS), Computer Science, Physics, Mathematics, Bachelor of Science (BS), Computer Science, Physics, Mathematics at University of Toronto - University College
Stackoverflow
31reputation
3kreached
3answers
0questions
Github Skills (25)
google-cloud-platform10
data-pipelines10
python10
kubeflow10
machine-learning10
ml10
gcp10
ai-platform10
mlops10
sdk10
pipe10
pipeline10
metadata-management10
data-pipeline10
data-science9
Programming languages (6)
Github contributions (5)
googleapis/python-aiplatform
May 2021 - Nov 2022
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:85 reviews, 18 commits, 34 PRs in 1 year 6 months
Contributions summary:Sina primarily contributed to the `googleapis/python-aiplatform` repository, which focuses on Vertex AI, a machine learning platform. Their commits show a focus on fixing documentation formatting within the AI Platform training jobs code and adding user agent headers. They also made significant contributions to improve metadata artifact and execution creation using the SDK, including adding support for creating artifacts, execution types, and metadata store IDs. Additionally, the user added samples for get, list, and delete methods for artifacts and executions within the SDK.
pythonend-to-endsciencedata-sciencemachine-learning
kubeflow/pipelines
Aug 2019 - May 2022
Machine Learning Pipelines for Kubeflow
Role in this project:ML Engineer
ML EngineerContributions:195 reviews, 132 commits, 136 PRs in 2 years 9 months
Contributions summary:Sina contributed several samples demonstrating the development of machine learning pipelines within the Kubeflow Pipelines framework. They added samples for explicitly defining execution order, mounting and using secrets, and building basic components. Furthermore, they created a sample for serving a model component. These contributions showcase expertise in building and deploying machine learning workflows using Kubeflow Pipelines.
pipelinetektondata-sciencemachine-learningmlops
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.