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Srinivas Tenneti
Mid-level AI/ML Engineer specializing in GenAI and predictive modeling
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Built and deployed a GPT-4-powered medical assistant for clinical staff to reduce time spent searching guidelines and EHR information, with a strong emphasis on safety and compliance. Uses strict RAG, confidence thresholds, and fallback behaviors to prevent hallucinations, and runs production-grade workflows orchestrated with LangChain/LangGraph plus Docker/Kubernetes/MLflow and monitoring for reliability and cost.
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Key Strengths
- Built and deployed a GPT-4 clinical medical assistant used by clinicians
- Designs high-reliability LLM systems with strict RAG, confidence gating, and non-guessing fallbacks
- Strong healthcare compliance and safety mindset (hallucination and traceability focus)
- Structured agent/workflow design with deterministic steps over one-shot prompting
- Practical LLM testing and evaluation using regression sets, edge cases, and grounding/failure metrics
- Production operations focus: monitoring, stability, and cost control (Docker/Kubernetes/MLflow)
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