Michael Bar-sinai
Chief Technology Officer at Institute for Quantitative Social Science (IQSS)
Cambridge, Massachusetts, United States
Summary
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Rockstar🎓
Top SchoolMichael Bar-sinai is a CTO and seasoned software architect with 12+ years of experience taking systems from requirements and prototypes to production across domains including factory automation, research data platforms, web and mobile apps. He recently completed a PhD extending Behavioral Programming into model-driven engineering, blending academic rigor with practical tooling and runtime design. As founder of a boutique studio and current CTO of Provengo, he combines hands-on engineering, methodology creation, and product leadership to streamline executable requirements and delivery. He contributes to prominent open-source research infrastructure—working on Dataverse backend APIs, dataset versioning and fine-grained access controls—and collaborates with research groups at BGU and Harvard. Known for building frameworks, runtimes and reusable component libraries, he bridges deep systems work with real-world deployments and grant-funded research.
13 years of coding experience
10 years of employment as a software developer
BSc Software Engineering, BSc Software Engineering at Technion - Israel Institute of TechnologyDoctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Ben-Gurion University of the Negev
English, Hebrew
Stackoverflow
2,739reputation
513kreached
85answers
30questions
css-transforms
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css
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java
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Github Skills (27)
authorisation10
api-rest10
apidoc10
api-design10
restful-api10
authentication10
java10
javas10
api10
authorization10
dataverse10
rest-api10
auth10
postgresql9
css-transforms9
Programming languages (10)
Github contributions (5)
IQSS/dataverse
Dec 2013 - Sep 2018
Open source research data repository software
Role in this project:
Back-end Developer
Back-end DeveloperContributions:598 commits, 16 PRs, 272 pushes in 4 years 9 months
Contributions summary:Michael primarily contributed to the backend of the Dataverse project. Their work focused on the API, specifically creating, and updating dataset functionality, as well as enabling IP group-based access controls. They implemented features such as the API for creating, publishing, and deleting datasets, as well as the ability to manage group memberships and permissions. Their work extended to code cleanups and the addition of a testing for a separate API endpoint, and involved changes in the codebase related to dataset versioning and authorization.
data-repository
codeworth-gh/KLO-WorkAccidentDB
May 2021 - Feb 2026
Contributions:65 pushes, 1 tag, 12 comments in 4 years 9 months
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