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Sai Krishna Yemineni

Mid-level AI/ML Engineer specializing in healthcare NLP, real-time risk systems, and ML platforms

Johnson & JohnsonRivier UniversityMassachusetts, USA5 Years ExperienceMid LevelWorks On-Site

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About

LLM-focused customer-facing engineer who repeatedly takes document Q&A and agentic prototypes into secure, monitored production systems. Experienced in reducing hallucinations via RAG + guardrails, diagnosing retrieval/embedding issues in real time, and partnering with sales to run metrics-driven PoCs that overcome accuracy/security objections and drive adoption.

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Key Strengths

  • Takes LLM prototypes to production with metrics-driven approach
  • Designs and implements RAG pipelines with guardrails to reduce hallucinations
  • Builds monitoring for accuracy, latency, and cost in production LLM systems
  • Systematic real-time debugging of LLM/agent workflows by isolating failing layer
  • Improves retrieval quality via chunking strategy, re-indexing, and retrieval filtering
  • Strong stakeholder alignment through early success-metric definition and pilot feedback loops
  • Effective technical demos/workshops tailored to developers with live code and deep Q&A
  • Partners with sales to run targeted PoCs that resolve accuracy/security objections and close deals

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Experience

AI/ML EngineerJohnson & Johnson · May 2024 – Present
Al/ML EngineerDeloitte · Dec 2020 – Jul 2023

Education

Rivier Universitymaster, Computer Science (2025)
Koneru Lakshmaiah Education Foundation (KL University)bachelor, Computer Science & Engineering (2020)

Skills

PythonRC++SQLBashTensorFlowKerasPyTorchScikit-learnXGBoostNumPyPandasMatplotlibSciPySeaborn

Languages

English

Certifications

AWS Certified AI PractitionerAWS Certified Machine Learning – SpecialtyGoogle Cloud Certified – Generative AI Leader

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Sai Krishna YemineniMid-level AI/ML Engineer specializing in healthcare NLP, real-time risk systems, and ML platforms