Hi, I’m Sree Korabu, an AI/ML Engineer with 3+ years of experience building and deploying ML solutions in healthcare, pharma, retail, and finance. I specialize in predictive modeling, NLP, anomaly detection, and deep learning using PyTorch, TensorFlow, XGBoost, and LSTMs. I have a proven track record of reducing pharma stock-out risks, improving fraud detection, and delivering data-driven insights that inform business decisions.
I engineer production-ready ML systems in the cloud and at scale, using AWS SageMaker, Docker, Kubernetes, and CI/CD pipelines, with governance and monitoring via Prometheus and Weights & Biases. I enjoy collaborating with data engineers to design ETL pipelines in Snowflake and BigQuery, and building NLP pipelines with BERT and GPT-based models to process unstructured clinical notes and extract actionable signals.
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