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premkumar narla
Mid-level AI/ML Engineer specializing in GenAI, RAG, and enterprise ML systems
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ML/AI engineer with hands-on experience at Morgan Stanley building production fraud detection and enterprise RAG systems. Stands out for owning systems end-to-end—from experimentation and deployment to monitoring and iteration—and for delivering measurable impact, including an 18% reduction in fraud false positives, 40% lower inference latency, and internal tooling that reduced model deployment time from days to hours.
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Key Strengths
- end-to-end ownership of production ML systems
- fraud detection expertise in financial services
- reduced fraud false positives by 18%
- optimized real-time inference latency by 40%
- strong production monitoring and drift detection practices
- practical RAG architecture for frequently updated enterprise documents
- thoughtful tradeoff decisions across latency, cost, and quality
- improved retrieval quality through semantic chunking
- built reusable Python ML infrastructure for internal teams
- standardized model deployment process that cut deployment time from days to hours
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