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Raj Kalantri
Intern-level Software Engineer specializing in AI/ML and full-stack development
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About
Built a sophisticated AI career counselor as a full-stack web app for early-career students, integrating React, Flask, Pinecone, and LLM inference into a stateful conversational product. Stands out for combining hands-on debugging of retrieval/embedding pipelines with strong browser-performance instincts and pragmatic UX iteration based on real user testing.
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Key Strengths
- Built and owned a full-stack AI career counselor web app
- Strong browser-based UI architecture for stateful multi-service applications
- Systematic debugging of vector pipeline and embedding/index mismatches
- Performance-minded frontend engineering with streaming UI patterns
- Understands DOM/reflow trade-offs and rendering performance
- User-centered product simplification based on testing
- Improved engagement with prompt suggestion UX
- Thoughtful TypeScript adoption for safer shared data contracts
- Validates product quality through cold-user testing and session isolation checks
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2 publications
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