Sambhav Kothari is an AI engineering leader based in London with a decade of experience building cloud-native ML platforms and GenAI infrastructure. Currently heading Foundational AI Platforms at Bloomberg, he leads 30+ engineers across London and New York to deliver scalable agent, sandboxing, and MLOps capabilities while staying hands-on for complex technical challenges. Previously he ran the AI Productivity team and contributed to platform work spanning Cloud Native Buildpacks, container tooling, and inference pipelines. An active open-source maintainer, Sambhav has shipped features and fixes across high-profile projects like Kyverno, Syft, Pack and MusicBrainz Picard, often improving security, SBOM accuracy, and policy/query engines. He blends backend and DevOps expertise with a knack for developer productivity—evident in contributions from expression transpilation for Argo Workflows to JMESPath extensions—and champions best practices across large engineering groups. Known as an "open‑sourcerer," he bridges production-grade systems thinking with community-driven tooling and reproducible workflows.
10 years of coding experience
8 years of employment as a software developer
B.Tech, Computer Science & Engineering, B.Tech, Computer Science & Engineering at Indian Institute of Technology, Guwahati
Allows you to maintain all the necessary cruft for packaging and building projects separate from the code you intentionally write. Built on-top of, and fully compatible with, CookieCutter.
Role in this project:
Back-end Developer
Contributions:19 releases, 81 reviews, 43 commits in 2 years 3 months
Contributions summary:Sambhav focused on improving the functionality and robustness of the `cruft` tool. They enhanced the API with the ability to use branches and git references for updates. Furthermore, they refactored the API and improved the diff viewer functionality by using `git apply` for project updates. The user also added support for non-strict updates and checks while improving the overall stability and git handling of the project.
Contributions:10 releases, 2 reviews, 669 commits in 2 years 7 months
Contributions summary:Sambhav primarily focused on improving the MusicBrainz Picard application by addressing various bugs and implementing new features. Their contributions involved modifying the core functionality of the application, including fixing issues related to parent item updates, handling missing metadata, and adding support for tag removal. They also worked on enhancing theming support for Gnome 3 and implementing a new unit testing framework.
pythonpicardaudio-fileacoustidmusicbrainz
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