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Pranav Sharma

@pranavsharma7

Staff AI Engineer at HealthVerity building healthcare RAG and AI-agent platforms that improve clinical information retrieval.

United States

Message

At HealthVerity, I architect healthcare intelligence solutions with Python, Azure OpenAI, LangChain, and FastAPI. My work accelerated clinical information retrieval by 42%.

I developed production RAG pipelines that combine clinical documents, medical claims, embeddings, and Pinecone, improving contextual retrieval accuracy by 35%. I also implemented AI agents that automate healthcare research workflows and reduced processing time by 38%.

Previously, I led healthcare analytics and machine learning initiatives at Optum and developed clinical workflow software at athenahealth. My work spans predictive modeling, clinical data pipelines, NLP, and production model deployment.

Experience

Work history, roles, and key accomplishments

Current

Staff AI Engineer

Current

HealthVerity

Oct 2021 - Present (5 years 1 month)

Architected enterprise healthcare AI solutions integrating generative AI, clinical data intelligence, and scalable machine learning. Delivered RAG pipelines, intelligent agents, and predictive models, improving retrieval accuracy by 35% and reducing hallucination rates by 31%.

Senior Data Scientist

Optum

Apr 2018 - Oct 2021 (3 years 6 months)

Led healthcare analytics and machine learning initiatives, developing clinical risk prediction models and NLP pipelines. Improved high-risk patient identification accuracy by 24% and reduced data preparation time by 37%.

Python TensorFlow Spark SQL scikit learn XGBoost SpaCy NLTK BERT PySpark Hive MLFlow Docker Jenkins REST APIs S3 PostgreSQL Git

Software Engineer II

athenahealth

Jul 2014 - Apr 2018 (3 years 9 months)

Developed healthcare software for clinical workflows and electronic health records using Java, Python, and SQL. Improved application response times by 23% and reduced integration defects by 25%.