Sai Santosh Vasamsetti

Machine Learning Engineer at Optum

Developed and deployed ML models using Python, TensorFlow, and Scikit-learn to improve predictive accuracy for healthcare analytics by 18%. Built end-to-end data pipelines for preprocessing, feature engineering, and anomaly detection using Isolation Forest on large-scale datasets. Deployed ML models on AWS and GCP with secure API endpoints, reducing inference latency by 25% and enabling real-time decision-making. Implemented NLP and speech recognition solutions to automate reporting, boosting operational efficiency and patient engagement. Automated model lifecycle management with MLflow, Docker, and CI/CD pipelines, reducing deployment time from weeks to hours while preserving reproducibility.

Software Engineer at Entain (Ivy Comptech)

Designed and developed scalable backend microservices using Java, Spring Boot, and Hibernate; optimized service performance and reliability for high-traffic applications. Engineered relational and NoSQL databases (MySQL and MongoDB) with indexing, partitioning, and query optimization. Developed RESTful APIs and integrated them with front-end applications. Deployed AWS infrastructure (EC2, RDS, Lambda) and automated provisioning with Terraform and CloudFormation. Established CI/CD pipelines with Jenkins and implemented OAuth2/JWT authentication and encrypted data storage. Led the development of responsive front-end interfaces with React.js.