I am a data scientist with 4+ years of experience delivering AI and machine learning solutions across healthcare and financial services. I am proficient in Python, PyTorch, TensorFlow, Scikit-learn, XGBoost, and large language models, with a strong focus on end-to-end ML lifecycle automation and scalable production systems.
I have built large-scale data pipelines processing 40M+ clinical encounter records, engineered RAG platforms across 12 clinical knowledge bases, and deployed 30+ production-grade models using MLflow. My work spans NLP, multimodal document extraction, anomaly detection, and visualization, with hands-on experience collaborating with clinical, product, and governance teams to ensure model safety, reliability, and regulatory compliance.
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