• Lead enterprise AI-agent deployments end-to-end, integrating with RAG knowledge bases, APIs, and data analytics pipelines.

• Architect conversational flows and persona logic in AI Agent applications

• Engineer agentic actions embedding Python and Node.js through AWS Lambdas and other serverless applications.

• Monitor, Report, and Analyze live customer interactions to improve call outcomes → think faster resolutions, higher engagements.

• Bridge product, engineering, and customer-success teams to translate real-world use cases into both external deployments and internal product improvements.