I am Sasi Boyapati, a hands-on AI Engineer with 5 years of experience delivering data-driven solutions in healthcare and insurance. I design end-to-end machine learning and NLP pipelines, build predictive models, and create real-time analytics that turn complex datasets into actionable insights. I excel at leading cross-functional teams, deploying cloud-based, scalable solutions, and building interactive dashboards that empower data-driven decision making. I also implement MLOps, governance, and regulatory compliance to ensure reliable production systems while continuously improving processes. I thrive on collaborating with stakeholders to translate business goals into measurable analytics outcomes, and I am passionate about delivering secure, compliant, and scalable AI solutions in fast-paced environments.

Sasi Boyapati

I am Sasi Boyapati, a hands-on AI Engineer with 5 years of experience delivering data-driven solutions in healthcare and insurance. I design end-to-end machine learning and NLP pipelines, build predictive models, and create real-time analytics that turn complex datasets into actionable insights. I excel at leading cross-functional teams, deploying cloud-based, scalable solutions, and building interactive dashboards that empower data-driven decision making. I also implement MLOps, governance, and regulatory compliance to ensure reliable production systems while continuously improving processes. I thrive on collaborating with stakeholders to translate business goals into measurable analytics outcomes, and I am passionate about delivering secure, compliant, and scalable AI solutions in fast-paced environments.

Available to hire

I am Sasi Boyapati, a hands-on AI Engineer with 5 years of experience delivering data-driven solutions in healthcare and insurance. I design end-to-end machine learning and NLP pipelines, build predictive models, and create real-time analytics that turn complex datasets into actionable insights. I excel at leading cross-functional teams, deploying cloud-based, scalable solutions, and building interactive dashboards that empower data-driven decision making. I also implement MLOps, governance, and regulatory compliance to ensure reliable production systems while continuously improving processes.

I thrive on collaborating with stakeholders to translate business goals into measurable analytics outcomes, and I am passionate about delivering secure, compliant, and scalable AI solutions in fast-paced environments.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Work Experience

AI Engineer at UnitedHealth Group
January 1, 2024 - November 24, 2025
Led the design and implementation of end-to-end AI pipelines for unstructured EHR data, reducing manual processing workloads by over 40% and accelerating clinical insights. Developed HIPAA-compliant fraud detection systems using gradient boosting, anomaly detection, and ensemble ML techniques, achieving 93% precision on healthcare claims. Architected automated MLOps workflows on AWS SageMaker and EKS, decreasing deployment cycles from 3 weeks to 5 days and enhancing reproducibility, monitoring, and governance. Engineered OCR-based EHR ingestion pipelines with OpenCV and AWS Textract, delivering 99.5% data extraction accuracy and 35% lower latency for large-scale clinical documents. Built cost-forecasting models integrated with Power BI dashboards, improving budget accuracy by 22% and enabling data-driven executive decisions. Created interactive dashboards with TypeScript and React to monitor deployed models and enable cross-team collaboration. Mentored data engineers, analysts, and cli
Data Scientist at Intilt
May 1, 2023 - May 1, 2023
Led end-to-end design and implementation of a Predictive Claims Risk Assessment platform to identify high-risk insurance claims using historical data, policyholder profiles, and transaction patterns. Developed and fine-tuned models (XGBoost, Gradient Boosting, Random Forest, Logistic Regression) achieving about 91% accuracy in flagging fraudulent and high-cost claims. Built real-time ingestion pipelines with Apache Kafka and Spark Streaming to support low-latency processing across units. Consolidated diverse data sources via ETL workflows on AWS and PostgreSQL, improving processing speed and data quality by around 40%. Created executive dashboards with TypeScript, React, and Power BI, and implemented automated retraining, versioning, and monitoring with MLflow, SageMaker, Docker, and Kubernetes. Collaborated with claims, actuarial, and IT teams to embed predictions into operational workflows, reducing manual reviews by about 30% and accelerating resolutions. Applied feature engineering

Education

Master of Science in Computer Science at Texas Tech University
January 1, 2023 - January 1, 2025

Qualifications

AWS Certified AI Practitioner
January 1, 2025 - November 24, 2025
Amazon Bedrock: Getting Started with Generative AI
January 1, 2025 - November 24, 2025
Master Generative AI: LLM Application Development
January 1, 2025 - November 24, 2025
AI Extern – AT&T
January 1, 2024 - November 24, 2025

Industry Experience

Healthcare, Financial Services, Software & Internet, Professional Services