Gopi Amaraneni

I am an AI/ML engineer with over three years of hands-on experience building predictive analytics, NLP, and real-time inference solutions across healthcare and automotive domains.

I design and deploy end-to-end ML pipelines using Python, scikit-learn, TensorFlow, MLflow, Airflow, and cloud platforms (AWS/Azure), with a focus on automation, monitoring, and reproducible model delivery.

My work includes creating HIPAA-compliant workflows for patient risk prediction, applying NLP to clinical notes, and developing predictive maintenance and anomaly detection systems that improved model accuracy and operational uptime.

I collaborate closely with cross-functional teams—data engineers, clinicians, and product stakeholders—to translate business needs into measurable ML outcomes and maintain clear documentation and dashboards for stakeholders.