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Neha Nadiminti
Mid-level AI/ML Engineer specializing in Generative AI and MLOps
Generative AI Engineer4 years experienceMid-LevelHealthcare ITFinancial ServicesInsurance
ScreenedIdentity Verified
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About
Built and deployed a production Retrieval-Augmented Generation (RAG) platform in a healthcare setting to automate clinical documentation review and summarization, targeting near-real-time, explainable outputs. Emphasizes grounded generation to reduce hallucinations, latency optimizations (chunking/embedding reuse), and PHI-safe workflows with access controls, plus strong orchestration experience using Apache Airflow.
Experience
Generative AI EngineerWalgreens Healthcare
Machine Learning EngineerWells Fargo
Data ScientistUnited Health Care
Associate Data ScientistReliance Retail
Education
University of North Texasmaster, Computer Science
Madanapalle Institute of Technology and Sciencebachelor, Computer Science and Technology
Key Strengths
- Built and deployed a production RAG platform for clinical documentation summarization
- Strong focus on reliability in LLM systems (hallucination prevention via retrieval grounding)
- Performance optimization mindset (chunking and embedding reuse to reduce latency)
- Healthcare data privacy awareness (PHI protection and access controls)
- End-to-end workflow orchestration experience (Airflow for ETL/ML pipelines)
- Modular agent/workflow design with clear task boundaries and success criteria
- Measurement-driven evaluation (accuracy, latency, error rates) with continuous monitoring
- Uses human-in-the-loop validation to ensure quality in early production
- Effective collaboration with non-technical operations/compliance stakeholders
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