Navyasree Potluri
Senior Solution Engineer @ Microsoft | Data & AI | Unified Platforms | Speaker & Community Builder
London, United Kingdom
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Sree Potluri is a Senior Solution Engineer at Microsoft, specialising in Data & AI and leading customer-facing innovation across the UK water industry and beyond. She is the voice behind AI Horizon, a global community platform focused on making Generative AI accessible, practical, and impactful for real-world applications.
With over 17 years of experience in the technology industry, Sree partners closely with organisations to modernise data platforms, unlock real-time intelligence, and drive AI-led transformations using Microsoft Fabric and Azure. Her work spans designing end-to-end data and AI solutions that bridge the gap between complex technology and tangible business outcomes.
She is a regular speaker at conferences and industry events, sharing insights on designing unified data platforms, delivering end‑to‑end data solutions, and advancing capabilities in prompt engineering, LLM orchestration, agentic AI systems, and scalable, enterprise‑ready AI.
Area of Expertise
Topics
Semantic Search Using OpenAI and Azure SQL
This blog demonstrates how to implement semantic search by integrating OpenAI embeddings with Azure SQL Database. It walks through generating embeddings using OpenAI, storing them in Azure SQL, and performing vector-based similarity searches. The solution enables natural language querying over structured data, bridging the gap between traditional SQL and modern AI capabilities.
https://levelup.gitconnected.com/semantic-search-using-openai-and-azure-sql-0fb0d013fa90
How to Build a Retail AI Agent System with AutoGen
In the rapidly evolving landscape of retail, artificial intelligence (AI) is no longer a futuristic concept but a present-day necessity. Among the myriad of AI frameworks, Microsoft’s AutoGen stands out, offering a robust platform for building intelligent, conversational agents that can revolutionize customer experiences. This blog delves deep into the core components of AutoGen : Conversable Agents, Assistant Agents, Sequential Interactions, Reflection as Critic, Nested Agents, and Proxy Agents It also illustrates their transformative potential in the retail industry through comprehensive examples and code snippets.
https://levelup.gitconnected.com/how-to-build-a-retail-ai-agent-system-with-autogen-15c7d2e455d4
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