Pavan Kumar Gummuluru

About Pavan Kumar Gummuluru

AI & ML engineer with 4 years of experience in designing, developing, and deploying…

Experience

1. Ai Engineer

   Cardinal Health

   Dec 2024 — Present · US

   Designed and deployed predictive models to forecast patient readmissions and medication adherence using XGBoost, Random Forest, and LSTM networks, improving prediction accuracy by 18%.* Developed computer vision pipelines with YOLO and OpenCV for medical inventory tracking and anomaly detection in radiology scans, reducing manual review time by 25%.* Implemented NLP-driven clinical note analysis leveraging BERT/GPT models and RAG systems to extract key medical entities and automate documentation, saving 12+ hours per week for physicians.* Deployed scalable AI models with MLflow, Docker, and Kubernetes integrated into AWS SageMaker for real-time healthcare workflows, ensuring compliance with HIPAA standards.* Collaborated with cross-functional teams to frame business problems, translate them into ML-driven healthcare solutions, and communicate insights effectively to clinical stakeholders.* Built end-to-end CI/CD pipelines for ML models, integrating TensorFlow Serving and TorchServe, ensuring continuous delivery of updated models into production.