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Ravi Sankar Karuturi
Staff Software Engineer specializing in AI-powered e-commerce search
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About
Built production AI systems for Macy's and Bloomingdale's, including an embeddings-based pipeline to clean trending search queries and an end-to-end 'Ask Macy's' multi-agent chat experience. Brings hands-on experience with real-world agent orchestration, tool integration, quality evaluation, and business-facing safeguards in a large-scale e-commerce environment.
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Key Strengths
- Shipped production LLM features for Macy's and Bloomingdale's
- Designed embeddings-based quality filtering for trending search queries
- Built end-to-end multi-agent customer chat architecture
- Strong fallback design with human-in-the-loop and tool-based recovery
- Practical state and prompt management for agent systems
- Implemented judge-agent quality control and reprocessing loops
- Experience with streaming, async orchestration for chat backends
- Structured evaluation approach across CI/CD, UAT, and production
- Balances latency, cost, safety, and reliability with business ROI focus
- Deep e-commerce AI use cases across search, support, and discovery
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