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Vasudev Konde
Mid-level Full-Stack Java Developer specializing in APIs and cloud microservices
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AI/LLM engineer who has shipped a production document-intelligence agent that automated internal support workflows using RAG, tool calling, and robust fallback controls. Stands out for combining hands-on architecture with measurable business impact: 85% faster query resolution, 35% lower LLM cost, 40% fewer LLM calls, and enough automation to avoid adding 2-3 support engineers.
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Key Strengths
- Built production LLM document intelligence agent for internal support and operations
- Strong RAG architecture design with citations and grounded answers
- Production reliability engineering for AI systems
- Designed multi-step agent workflows with tool calling and structured outputs
- Established offline evals and online monitoring for LLM systems
- Improved hallucination reliability through retrieval gating and validation layers
- Handled messy ERP-like integrations with schema normalization and safe-action controls
- Implemented idempotency and defensive checks to prevent duplicate or bad actions
- Delivered 85% reduction in document search/query resolution time
- Reduced LLM costs by 35% through caching and prompt optimization
- Cut LLM calls by 40% using Redis caching
- Avoided hiring 2-3 additional support engineers by automating tier-1 support
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