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Anjali Chepuri - Professional

Anjali Chepuri

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About

Built and deployed an LLM-powered financial document processing and summarization platform at Morgan Stanley using a production RAG pipeline (PDF ingestion, embedding-based retrieval, schema-constrained JSON outputs) delivered via FastAPI microservices on Kubernetes. Drove measurable impact (40% reduction in manual review time) and improved factual accuracy for numeric fields by 30% through metadata-aware retrieval, strict schemas, and post-generation validation, with a human feedback loop from financial analysts.

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Key Strengths

  • Built and deployed production LLM/RAG system for financial reports at Morgan Stanley
  • Reduced manual financial document review time by ~40%
  • Improved factual accuracy for financial numbers by ~30% via stronger retrieval + schema enforcement + numeric validation
  • Strong productionization skills (FastAPI microservices on Kubernetes with monitoring/logging/autoscaling)
  • Reliable agent/workflow design with guardrails, modular steps, and measurable evaluation (accuracy/grounding/latency/hallucinations)
  • Effective cross-functional collaboration with non-technical financial analysts; translated requirements into structured fields and review workflow

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Skills

FastAPIMicroservices architectureContainerizationKubernetesApache AirflowAWS Step FunctionsMLflowUnit testingLLM-powered document processingFinancial document extraction and summarizationPDF ingestion pipelinesText chunking strategiesEmbedding-based indexingVector retrievalRAG (Retrieval-Augmented Generation)

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Anjali already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

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Hire with Reval

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Anjali Chepuri