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Deepthi Pamisetty
Mid-level Full-Stack Engineer specializing in FinTech and cloud-native systems
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About
Full-stack engineer with production experience building AI-powered search and automation systems at JPMorgan Chase and customer-facing product features at Wayfair. Stands out for combining React frontend work with backend microservices, RAG/LangChain AI integration, and cloud-scale performance tuning, including a support chatbot that reduced ticket resolution time by 35%.
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Key Strengths
- Full-stack AI product development in production
- Built AI-powered document search platform at JPMorgan Chase
- Strong backend and AI integration with RAG and LangChain
- Scalable microservices architecture using Docker, Kubernetes, AWS, Redis, and Kafka
- Performance optimization under high traffic and latency constraints
- Search relevance and reliability evaluation using sample queries and user feedback
- Cross-functional zero-to-one product ownership in ambiguous environments
- MVP-driven iteration with stakeholder collaboration
- Improved ticket resolution time by 35% with AI support chatbot
- User-centered design for non-technical users adopting AI workflows
- Frontend performance optimization across React and TypeScript applications
- Experience across finance and e-commerce domains
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