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Rakshitha Shivaraj
Mid-Level Backend Engineer specializing in Java/Spring Boot and LLM-integrated microservices
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About
Built and deployed a live production LLM document Q&A platform (DocumindAI) with an adaptive RAG pipeline (Claude + Cohere embeddings + pgvector), source-cited structured outputs, and engineered fallbacks for reliability and sub-2s latency. Also has enterprise integration experience at Tech Mahindra working with messy IFS ERP XML integrations, using validation/normalization and JTA transactions to prevent partial writes and data corruption.
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Key Strengths
- End-to-end ownership of a production LLM app (backend, RAG, UI, deployment)
- Adaptive multi-step agent orchestration with routing between full-context and vector retrieval
- Production reliability engineering with graceful fallbacks (LLM/API failures, low-confidence retrieval)
- Low-latency RAG system design (reported <2s end-to-end responses)
- Predictable, UI-parseable structured outputs with source citations
- Evaluation and monitoring loops (offline citation checks, online routing logs) leading to concrete reliability improvements
- Robust ERP/data integration experience handling inconsistent XML schemas with validation and normalization
- Strong data integrity practices using JTA transactions and pre-validation before Oracle PL/SQL writes
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