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Sai V
Mid-level Software Engineer specializing in backend systems and FinTech
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About
Built an internal RAG assistant for financial documents using FastAPI, OpenAI APIs, and vector search, improving document search speed and reducing manual effort for the business team. Stands out for a pragmatic approach to AI engineering: uses AI heavily for productivity, but keeps human judgment central and has designed retrieval, validation, and summarization workflows end-to-end.
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Key Strengths
- Balanced AI-assisted engineering with strong human validation
- Built end-to-end RAG solution for financial documents
- AI workflow design across retrieval, validation, and summarization
- Practical multi-agent experimentation with fallback architecture
- Strong focus on correctness, security, performance, and business fit
- Hands-on prototyping to evaluate production trade-offs
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