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Sai Krishna Yemineni
Mid-level AI/ML Engineer specializing in healthcare NLP, real-time risk systems, and ML platforms
Massachusetts, USAAI/ML Engineer5 years experienceMid-LevelHealthcarePharmaceuticalsHealthcare IT
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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.
Experience
AI/ML EngineerJohnson & Johnson
Al/ML EngineerDeloitte
Education
Rivier Universitymaster, Computer Science (2025)
KL Universitybachelor, Computer Science & Engineering (2020)
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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