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Sai V
Mid-level Software Engineer specializing in backend systems and FinTech
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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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