Medipally Ranjith
Ai Ml Engineer @HCA Healthcare
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WORK HISTORY
Ai Ml Engineer @HCA Healthcare
US
Engineered NLP workflows with Hugging Face & FastAPI to process oncology reports, reducing manual review by 27% and accelerating treatment planning.Built Vector Database–powered search pipelines on AWS SageMaker, improving cancer case detection accuracy by 18%.Designed containerized clinical AI models with Docker + Kubernetes, enabling production releases in <45 minutes via GitHub Actions CI/CD.Developed ETL + MLflow pipelines integrating Spark, Kafka, and GCP Vertex AI for 6M+ oncology records and imaging datasets, achieving 0.87 ROC-AUC in early cancer detection models.
EDUCATION
Indiana State University
Master's degree, Computer Science
ABOUT MEDIPALLY RANJITH
I am an AI/ML Engineer with 4+ years of experience building and deploying end-to-end machine learning solutions across healthcare, environmental, and sustainability domains. I focus on creating scalable, production-ready AI systems that turn complex data into actionable insights.My expertise includes NLP, Generative AI, Computer Vision, and MLOps, with strong hands-on experience taking models from experimentation to cloud deployment. In healthcare, I’ve developed NLP-based analytics using Hugging Face Transformers, Vector Databases, and FastAPI, helping reduce manual review efforts and improve clinical decision-making. I’ve also worked on computer vision and predictive models for deforestation detection, biodiversity monitoring, and precision agriculture.I have solid experience deploying ML solutions using Docker, Kubernetes, AWS SageMaker, and GCP Vertex AI, along with building real-time and batch data pipelines using Apache Spark, Kafka, and Airflow. I actively use MLflow, Bayesian Optimization, and ensemble techniques to improve model performance, reliability, and monitoring in production environments.In addition to modeling, I enjoy presenting insights through clear data visualizations using Plotly, Seaborn, and Power BI, enabling stakeholders to make informed decisions from complex datasets.I am passionate about AI that creates real-world impact, and I enjoy collaborating with cross-functional teams to solve meaningful problems. I’m always eager to learn, build, and contribute to innovative AI products at scale.
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