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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.
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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