mounika

About me

Gen AI and Machine Learning Engineer with 11+ years of experience building data and AI systems that turn complex, messy data into clear, usable outcomes across healthcare, insurance, telecom, and banking. Works across the full lifecycle, from data ingestion to model deployment, with systems that helped reduce preventable hospitalizations by 30%. Designs scalable pipelines with Spark, Kafka, and Airflow across AWS, Azure, and GCP on multi-terabyte datasets, cutting data latency from hours to under 25 minutes and improving data accessibility by 70%. Builds production ML models with XGBoost, TensorFlow, and PyTorch for risk prediction, fraud detection, and churn (up to 0.89 AUC), plus real-time serving at scale. Recently delivering GenAI solutions, including RAG pipelines and multi-agent systems with LangChain and LangGraph, that improved knowledge retrieval accuracy by 30%+ and reduced manual effort by 70% in enterprise workflows.