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Surya Pavan
Mid-level Machine Learning Engineer specializing in Generative AI and LLM applications
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GenAI engineer who has deployed production LLM/RAG chatbots for internal document search, focusing on reliability (hallucination reduction via prompt guardrails + retrieval filtering) and performance (latency improvements via caching). Experienced with LangChain/LangGraph orchestration for multi-step agent workflows and iterates using monitoring/logs and benchmark-driven evaluation while partnering closely with product and business teams.
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Key Strengths
- Built and deployed production RAG chatbot for internal document search
- Reduced hallucinations using strict system prompts, metadata filtering, and similarity thresholds
- Improved response speed via caching and retrieval/document-structure optimizations
- Designed multi-step agent workflows (query → retrieve → validate → respond) with LangGraph for controlled execution
- Data-driven iteration using logs/traces plus benchmark re-testing to improve accuracy/latency/error rate
- Effective collaboration with non-technical stakeholders through demos, visuals, and regular check-ins tied to business outcomes
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