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Praveen Nutulapati - Gen AI Engineer in New York, NY

Praveen Nutulapati

Mid-level Generative AI Engineer specializing in LLM fine-tuning, RAG, and agentic systems

JPMorgan ChaseUniversity of Central MissouriNew York, NY6 Years ExperienceMid LevelWorks On-Site

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About

Built and deployed a production multi-agent RAG system at JPMorgan Chase to automate regulated credit analysis and compliance clause discovery across large internal policy/document libraries. Implemented LangGraph-based supervisor orchestration with structured state management (Azure OpenAI) to support long-running, resumable workflows, plus hybrid retrieval + re-ranking and guardrails for reliability. Strong at evaluation/observability (trace logging, LLM-judge, HITL) and at communicating results to non-technical stakeholders via Power BI embeds and Streamlit prototypes.

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Key Strengths

  • Built and deployed production multi-agent RAG system automating internal credit analysis workflows
  • Designed hybrid retrieval (vector + BM25) with re-ranking for high-precision compliance use cases
  • Solved stateless LLM limitations with structured state management enabling long-running, resumable analyst sessions
  • Implemented agent orchestration via LangGraph supervisor pattern with short/long-term memory
  • Reliability-focused evaluation: trace-based monitoring plus deterministic/heuristic checks, LLM-judge, and human-in-the-loop
  • Optimized model strategy across cost/latency/security, including QLoRA fine-tuning and AWQ quantization for throughput

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Experience

Gen AI EngineerJPMorgan Chase & Co. · Aug 2024 – Present
Data Science (AI/ML)Amazon Development Center · Apr 2020 – Jul 2022
Data AnalystMahindra Group · Aug 2018 – Feb 2020

Education

University of Central Missourimaster, Computer Science (2024)

Languages

English

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Typically responds within 24 hours

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Praveen NutulapatiMid-level Generative AI Engineer specializing in LLM fine-tuning, RAG, and agentic systems