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Harshini Sai
Ai Ml Engineer @Optum
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WORK HISTORY
Ai Ml Engineer @Optum
Irving, TX, US
AI/ML Engineer | Optum, USA May 2024 – Present • Designed and implemented machine learning models using Python, TensorFlow, and Random Forest to predict chronic disease risk (e.g, diabetes, heart disease) from EHR and demographic data. Improved clinical decision support with automated identification of high-risk patient profiles. • Applied Bayesian Optimization and Monte Carlo simulations to evaluate thousands of clinical scenarios and optimize intervention plans under variable risk conditions. Improved precision of outcome predictions across patient cohorts. • Built a hybrid optimization framework combining Genetic Algorithms for population-based care prioritization and Reinforcement Learning for adaptive care plan updates. Integrated real-time monitoring data and patient history into the model. Deployed and validated the system on AWS infrastructure for scalability. • Deployed end-to-end machine learning workflows on AWS SageMaker, utilizing SageMaker Pipelines for training automation, Endpoints for real-time health risk scoring, and CloudWatch for production model monitoring. • Improved healthcare data pipeline performance by optimizing SQL queries on large-scale EMR datasets sourced from hospital data lakes. Reduced processing time for training and reporting, ensuring faster access to clean patient data. • Collaborated with physicians and care managers to build AI-driven Power BI dashboards, visualizing KPIs like patient risk scores, readmission rates, and treatment efficacy. Enabled real-time insights and more effective resource allocation.
EDUCATION
University of North Texas
Master's degree, Artificial Intelligence
ABOUT HARSHINI SAI
Student at University of North Texas.
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