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Dushyanth Narravula

@dushyanthnarravula

I build enterprise data pipelines, predictive models, and grounded AI assistants.

United States
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What I'm looking for

I'm looking to build production AI/ML and data platforms where I can own the path from reliable data infrastructure to deployed, monitored, grounded AI systems alongside product, security, and compliance teams.

I'm building an AI assistant platform for insurance agents at AmeriLife, combining RAG knowledge bases, LangChain, LangGraph, vector search, and tool calling to deliver grounded, source-backed answers from CRM and policy data.

I develop intent classification, lead propensity, and conversion models using Hugging Face Transformers, XGBoost, and LightGBM, while supporting MLOps and LLMOps through MLflow, evaluation frameworks, guardrails, and production monitoring.

At United Healthcare, I built explainable healthcare risk models from claims and clinical data, using Logistic Regression, Random Forest, XGBoost, SHAP, and SageMaker to help care teams prioritize earlier intervention.

Earlier at Capital One, I built Azure data lake pipelines for banking analytics with Azure Data Factory, Databricks, PySpark, Kafka, and data quality controls. I bring hands-on ownership from data infrastructure through model deployment and responsible AI operations.

Experience

Work history, roles, and key accomplishments

AM
Current

Senior AI/ML Engineer

AmeriLife

Nov 2024 - Present (1 year 10 months)

Built an AI assistant platform for insurance agents using RAG and machine learning models. Developed RAG ingestion pipelines, intent classification models, and lead propensity models, and contributed to MLOps and LLMOps processes.

Education

Degrees, certifications, and relevant coursework

University at Buffalo, The State University of New York logoUY

University at Buffalo, The State University of New York

Master of Science, Data Science

Grade: 3.93/4.0

Master of Science in Engineering Science with a concentration in Data Science, achieving a GPA of 3.93/4.0.

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