Ramya Banothu

Ai and Data Engineer @athenahealth

US

Engineered end-to-end GenAI pipelines leveraging LLMs for healthcare data, enabling predictive analytics and clinical decision support.Developed and fine-tuned NLP models using Hugging Face, PyTorch, and TensorFlow, and built scalable data pipelines with Python, Spark, and Databricks.Integrated real-time streaming data via Kafka and Azure Event Hubs while ensuring HIPAA/CCPA compliance and secure data handling.Implemented model training, inference, and CI/CD workflows on cloud platforms (AWS, Azure), applying advanced AI techniques like transfer learning, embeddings, GANs/VAEs, and multi-modal modeling.Delivered actionable AI-driven insights, optimized cloud resources, constructed synthetic datasets and knowledge graphs, and ensured model explainability and reproducibility.

University of North Texas

Master of Science - MS