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Anagha Rumade

Senior Applied AI/ML Engineer specializing in GenAI, LLMs, RAG and agents

JPMorgan ChaseStevens Institute of TechnologyPalo Alto, California9 Years ExperienceSenior LevelWorks On-Site

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About

Applied AI/ML Engineer at JPMorgan Chase who led a banker-facing LLM chatbot from an OpenAI-API POC to a production RAG workflow, including hallucination mitigation, automated evaluation in SageMaker, and operational monitoring with Dynatrace. Also delivers external technical education—hosted a hands-on Grace Hopper Celebration 2025 workshop teaching LangChain/LangGraph agentic workflows.

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Key Strengths

  • Took an LLM chatbot from POC to production as technical lead (banker-facing internal RAG system)
  • Built and led a small team to deliver an initial prototype, then scaled to a production workflow
  • Designed hallucination-mitigation approach using strict context grounding and component separation
  • Implemented automated evaluation pipeline in SageMaker (exact match + lexical similarity checks)
  • Operated production system with monitoring/alerting and on-call processes (Dynatrace, user comms banners)
  • Uses product adoption metrics to diagnose issues (abandonment rate, top-1/top-6 click-through)

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Experience

Applied AI/ML EngineerJP Morgan Chase · Dec 2021 – Present
Data ScientistFig · Nov 2019 – Dec 2021
Data AnalystFire Department New York · Jan 2017 – Oct 2019

Education

Stevens Institute of Technologymaster, Information Systems (Business Intelligence and Analytics specialisation) (2016)
NMIMS Universitybachelor, Computer Engineering (2012)

Awards

  • Top 3 finishes in 4 internal hackathons - J.P. Morgan Chase

Skills

AWSAWS LambdaCI/CDComplianceData AnalysisData IngestionData PipelinesData VisualizationETLLangChainLangGraphModel DeploymentOpenAI APIPandasPrompt Engineering

Languages

English

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Anagha RumadeSenior Applied AI/ML Engineer specializing in GenAI, LLMs, RAG and agents