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Jhansi Muppalla

Ai Ml Engnieer @CVS Health

Denton, TX, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jul 2025 — Present

Ai Ml Engnieer @CVS Health

TX, US

Designed and deployed Generative AI solutions (RAG, LLM-based assistants) for healthcare workflows, improving information retrieval efficiency by 30%+.Built LLM-powered clinical and knowledge retrieval systems using OpenAI, LangChain, FAISS, and Pinecone.Developed and deployed REST APIs using FastAPI for ML/LLM models, supporting 10K+ daily inference requests.Implemented end-to-end ML pipelines (Python, SQL, Airflow, Databricks), reducing data processing time by 25%.Built fraud, waste, and abuse detection models on healthcare claims data, improving detection accuracy by 15%.Deployed scalable AI systems using Docker and Kubernetes, ensuring 99.9% uptime.Established MLOps and monitoring pipelines (MLflow, Prometheus, Grafana) for model tracking, drift detection, and performance optimization.Ensured HIPAA-compliant data handling across EHR, EMR, and claims systems for secure AI-driven solutions

EDUCATION

N/A

RVR&JC College of Engineering

Bachelor's degree, Computer Science

N/A

University of North Texas

Master's degree, Data Science

ABOUT JHANSI MUPPALLA

I am an AI/ML Engineer with experience building production-ready AI systems, LLM applications, and scalable machine learning solutions across banking and healthcare domains.My work focuses on designing intelligent systems that combine machine learning, NLP, and Generative AI to solve real-world business problems — from fraud detection and document processing to AI-powered assistants and decision support systems.I have hands-on experience across the full AI lifecycle:Data processing and feature engineeringModel development (ML, NLP, LLMs)Building APIs and deploying models in productionDeveloping scalable pipelines and monitoring systemsRecently, I have been working on:LLM applications and RAG-based systemsAI-powered automation and knowledge retrievalEnd-to-end ML pipelines and cloud deployments (AWS/Azure)I enjoy turning complex data problems into practical, scalable AI solutions that create measurable impact.Let’s connect if you have any opportunities in this space.

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