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Kishan Peesapati
Senior AI Engineer specializing in Generative AI and RAG applications
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About
AI engineer who has shipped production LLM systems across customer service and marketing use cases—building a RAG app on Azure OpenAI and speeding retrieval with Redis caching tied to Okta sessions. Also implemented a LangGraph multi-agent workflow that pulls image context from Figma to generate structured HTML marketing emails, adding a verification agent to improve image-selection accuracy while optimizing solution cost for business stakeholders.
Experience
Education
Key Strengths
- Built and deployed a production RAG system for customer service to reduce average handling time
- Improved RAG retrieval latency using Redis caching with session-scoped caching tied to Okta auth
- Designed and orchestrated multi-agent workflows in LangGraph (image selection + marketing email generation)
- Mitigated LLM/image-description failures by adding a verification agent to improve selection accuracy
- Pragmatic evaluation approach using scenario-based test cases and user feedback (with caution about feedback reliability)
- Cost optimization: replaced proposed agentic approach with a single-agent solution to achieve similar output at lower cost
- Experience translating architecture tradeoffs (pros/cons) to business stakeholders
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