Chinmay Shah is an engineering leader and builder with 11 years of experience designing and shipping reliable AI and large-data systems from India to the San Francisco Bay Area. As a founder-CTO who raised VC funding, achieved SOC-2 compliance, and delivered multiple products, he combines startup grit with enterprise-grade security and delivery. His work spans backend, DevOps, and differential privacy—he led PyDP efforts at OpenMined and improved build and cross-version support for a well-known Python differential privacy library. More recently he focuses on making AI agents robust in real-world, stateful environments and operationalizing large-scale data workflows. Chinmay pairs hands-on engineering with team building and client-facing POCs, and he’s motivated by humane technologies and pragmatic privacy engineering.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (BTech) Computer Engineering, Bachelor of Technology (BTech) Computer Engineering at SVKM's Narsee Monjee Institute of Management Studies (NMIMS)
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:31 releases, 169 reviews, 360 commits in 3 years
Contributions summary:Chinmay primarily contributed to the project by adding and modifying build scripts. The user added Go installation scripts, fixed build processes, and added Python 2/3 support. They also addressed merge conflicts and updated the build process and dependencies.
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