Tulasi Marupudi profile image
Tulasi Marupudi
Principal Consultant

I’m a Principal Consultant in Data & Cloud with 18+ years of experience in QA, automation, and test engineering. I also explore AI through n8n pipelines, agent and sub-agent markdown workflows, efficient token usage, and learning the concepts behind the scenes while keeping up with the latest changes. Outside work, I enjoy swimming, cycling, running, cricket, and movies.

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Silos at scale: How local AI efficiency gains are breaking the quality feedback loops image
Silos at scale: How local AI efficiency gains are breaking the quality feedback loops
Silos at scale: How local AI efficiency gains are breaking the quality feedback loops image
Silos at scale: How local AI efficiency gains are breaking the quality feedback loops
Silos at scale: How local AI efficiency gains are breaking the quality feedback loops image
Silos at scale: How local AI efficiency gains are breaking the quality feedback loops
Silos at scale: How local AI efficiency gains are breaking the quality feedback loops image
Silos at scale: How local AI efficiency gains are breaking the quality feedback loops

Contributions

Silos at scale: How local AI efficiency gains are breaking the quality feedback loops image
  • Scale Factory (formerly Ten10)'s profile image
  • MoT London's profile image
  • Mike Mead's profile image
  • Tulasi Marupudi's profile image
  • Bharath Acharya's profile image
A panel discussion exploring how AI gains in silos can break feedback loops, shift bottlenecks downstream, and make quality harder to manage at scale.
MoT London and Silos at scale image
  • Scale Factory (formerly Ten10)'s profile image
  • Mike Mead's profile image
  • Tulasi Marupudi's profile image
  • Bharath Acharya's profile image
The panel at MoT London: Silos at scale: How local AI efficiency gains are breaking the quality feedback loops - with Mike Mead, Tulasi Marupudi and Bharath Acharya.Many thanks to Scale Factory for...
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