Mounika Yalamanchili

About

Built and deployed a production RAG system for financial/compliance teams using GPT-4, Claude, and local models to retrieve and summarize thousands of internal documents with strong security controls (role-based retrieval, PII masking). Drove significant operational gains (30+ hours/week saved, ~35% productivity lift, ~45% faster responses) and orchestrated end-to-end ingestion/embedding/index refresh pipelines with Airflow, S3, and SageMaker while partnering closely with compliance stakeholders on auditability and traceability.

Key Strengths

• Led design and production deployment of an LLM/RAG compliance document system
• Delivered measurable impact: reduced manual review by 30+ hours/week and improved advisor productivity ~35%
• Reduced query response times ~45% through architecture and retrieval optimization
• Strong hallucination-mitigation approach (hybrid search, re-ranking, semantic chunking, tighter grounding)
• Implemented robust security controls (role-based retrieval filtering, data classification, PII masking) to prevent sensitive-data leakage
• Built reliable, measurable AI workflows with component-level testing, KPIs, and red-teaming
• Experienced orchestrating ETL/ML pipelines in Airflow integrating S3, embeddings/vector index updates, and SageMaker training triggers
• Effective collaboration with non-technical compliance stakeholders; translated auditability/traceability needs into technical design

Experience

Education

Skills

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