Saloni Shah
AI Strategist
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolSaloni Shah is an AI strategist and senior software engineer with 10 years of experience building scalable cloud and ML systems, currently focused on AI strategy at Bespoke Labs after roles at Scale AI and Microsoft Azure. She holds a B.S. in Computer Science with AI and HCI focus from Georgia Tech and is pursuing an MS in Machine Learning, blending strong academic foundations with product and engineering practice. Her technical fluency spans Python, Java, C++, JavaScript, Swift, C, and C#, and she has contributed backend enhancements to the widely used Broad Institute Cromwell workflow engine, improving API behavior and metadata handling for large-scale scientific workflows. Saloni pairs hands-on systems work at companies like Microsoft and Amazon with leadership in student entrepreneurship—having led Startup Exchange at Georgia Tech—demonstrating a knack for translating research-grade tools into production-ready products. She brings a rare combination of cloud-scale engineering, generative AI strategy, and community-building experience, often bridging technical execution with cross-organizational partnerships.
10 years of coding experience
6 years of employment as a software developer
Master of Science - MS Machine Learning, Master of Science - MS Machine Learning at Georgia Institute of TechnologyLondon School of Economics and Political Science
French, Spanish, Gujarati, Hindi
Github Skills (11)
work-flow10
workflow-engine10
api10
apidoc10
scala10
testing9
workflow-description-language9
bioinformatics7
gcp5
javas4
java4
Programming languages (10)
Github contributions (5)
broadinstitute/cromwell
Apr 2018 - Sep 2022
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 releases, 294 reviews, 128 commits in 4 years 5 months
Contributions summary:Saloni primarily contributed to the core functionality of the Cromwell workflow engine. Their work focused on enhancements to the API endpoints, including submitting workflows without starting, and modifying the handling of workflow states ("On Hold"). The code changes include updates to existing tests to reflect API endpoint changes. The user also worked on updates to the metadata, including the addition of a submission timestamp for workflow queries.
casestransitionbioinformaticsworkflow-executioncommon-workflow-language
DataBiosphere/cbas-ui
May 2022 - Sep 2023
Contributions:191 reviews, 85 PRs, 187 pushes in 1 year 4 months
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