As Distributed Systems Lead at Kwaai, Brian focuses on building decentralized AI training and inference systems with an emphasis on privacy, security, and performance. Previously, he has held key roles at companies and systems integrators architecting cloud-native solutions, automation frameworks, and AI-driven platforms, including a provably accurate medical technology infrastructure. A passionate advocate for open-source technology, Brian co-founded the San Fernando Valley Linux User Group (SFVLUG), fostering a community of engineers, developers, and technology leaders.

Presentations

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Workshop: KwaaiNet - Building Decentralized AI Infrastructure

This is a deep‑dive workshop on how to run Personal AI on infrastructure you actually control. KwaaiNet is Kwaai’s sovereign AI network: a distributed compute and storage layer that turns everyday devices into an OpenAI‑compatible “AI cloud” where users keep their own keys, data, and rewards instead of handing everything to centralized platforms.
 

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Technical Learnings of Building Distributed and Decentralized AI

AI systems created and maintained by open-source communities are a natural counterbalance to corporate-owned AI systems. Similarly to SETI@Home, everyone can take some of the unused computing time on their devices, and contribute to a larger system. In this case, it forms a decentralized fabric to replace the storage and computation currently requiring expensive cloud resources from corporate providers.

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