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Arvindram Krishnamoorthy

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Principal Architect, ML Solutions T-Mobile

I’m currently a Principal Architect in the Finance Procurement & Supply Chain Organization at T-Mobile. In my role, I design and implement innovative technology strategies and oversee the end-to-end lifecycle of large-scale ML models produced by the AI Center of Excellence. Collaborating with senior architects and stakeholders, I define the technical strategy to achieve vital organizational goals. Often, these initiatives cross different, large domains. I'm also super passionate about mentoring junior ML engineers. Currently, I've filed two patents, one was awarded, one pending, and I may be working on a couple more ;) I have two younger siblings and outside of work, I enjoy reading, fitness, whittling -- although I'm still a beginner!

Bio from: Data + AI Summit 2025

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Getting Data AI Ready: Testimonial of Good Governance Practices Constructing Accurate Genie Spaces

Genie Rooms have played an integral role in democratizing important datasets like Cell Tower and Lease Information. However, in order to ensure that this exciting new release from Databricks was configured as optimally as possible from development to deployment, we needed additional scaffolding around governance. In this talk we will describe the four main components we used in conjunction with the Genie Room to build a successful product and will provide generalizable lessons to help others get the most out of this object. At the core are a declarative, metadata approach to creating UC tables deployed on a robust framework. Second, a platform that efficiently crowdsourced targeted feedback from different user groups. Third, a tool that balances the LLM’s creativity with human wisdom. And finally, a platform that enforces our principle of separating Storage from Compute to manage access to the room at a fine-grained level and enables a whole host of interesting use-cases.