Dhanush Chepuri
Ai Ml Engineer @UnitedHealth Group
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WORK HISTORY
Ai Ml Engineer @UnitedHealth Group
CO, US
Engineered scalable Retrieval-Augmented Generation (RAG) pipelines using LangChain, LlamaIndex, and vectordatabases to enhance internal provider search capabilities, significantly improving semantic medical query accuracy.•Fine-tuned advanced Large Language Models with QLoRA for ambient clinical listening applications, automating patient record summarization and efficiently deploying models via RESTful FastAPI endpoints.•Developed accurate predictive claims processing models leveraging XGBoost, LightGBM, and PySpark to drive core benefit automation, dramatically reducing manual health claims document review times.•Built robust computer vision pipelines utilizing OpenCV, YOLO, and Vision Transformers (ViT) to rapidly extract and classify critical features from complex medical documents and diagnostic images.•Containerized and deployed scalable deep learning solutions utilizing Docker, Kubernetes, and AWS SageMaker,establishing robust CI/ CD deployment workflows managed securely through enterprise GitHub Actions.•Implemented comprehensive MLOps strategies adopting MLflow for hyperparameter tracking, alongside customized monitoring frameworks for robust data drift and concept drift detection in live production environments.
EDUCATION
Trine University
Information Technology
Swarna Bharathi Institute of Science and Technology
Bachelor of Technology
ABOUT DHANUSH CHEPURI
AI/ ML Engineer with nearly 4.5 years of experience building and scaling machine learning, generative AI, and computer vision solutions across healthcare and enterprise environments. Adept at tackling complex data challenges using Python, TensorFlow, and PySpark to develop everything from traditional predictive models to advanced RAG pipelines leveraging LangChain and LlamaIndex. Backed by a strong hands-on foundation in MLOps, smoothly transitioning models from research to live production using MLflow, Docker, and robust CI/ CD workflows on AWS and GCP. Proven track record of turning massive data streams into secure, compliant, and actionable business tools that directly drive operational efficiency.
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