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Displaying 1 session
Silos at scale: How local AI efficiency gains are breaking the quality feedback loops image
  • Scale Factory (formerly Ten10)'s profile
  • MoT London's profile
  • Mike Mead's profile
  • Tulasi Marupudi's profile
  • Bharath Acharya's profile
A panel discussion exploring how AI gains in silos can break feedback loops, shift bottlenecks downstream, and make quality harder to manage at scale.
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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