Aamani Chamarthi

Generative Ai Ml Data Engineer @PeaceHealth

Vancouver, WA, US

Designed and deployed scalable AI/ML solutions on Azure, GCP, and AWS, enabling real-time medical image analysis and predictive health analytics that improved diagnostic accuracy by 15%- Built LLM-powered clinical decision systems (GPT-3.5, Llama 2, LangChain), automating medical report generation with 90% accuracy, cutting clinician workload by 30%- Developed Retrieval-Augmented Generation (RAG) pipelines using LangChain, LlamaIndex, and Pinecone, accelerating data classification workflows by 70% to support faster patient care- Engineered OCR + NLP pipelines with DocQuery and computer vision to extract structured data from complex medical documents, achieving 95% accuracy and improving data accessibility- Orchestrated large-scale data ingestion and transformation pipelines via Airflow, ADF, and AWS Glue, maintaining high data quality with proactive validation- Partnered with clinicians and global teams to translate healthcare needs into scalable AI systems, driving adoption of cutting-edge technology in critical care workflows.

Vignan's Foundation for Science, Technology & Research

B.Tech (Hons)

University of North Texas

Master's degree