Naga Gayatri B.
Ai Ml Engineer @Cleveland Clinic
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WORK HISTORY
Ai Ml Engineer @Cleveland Clinic
Cleveland, OH, US
Engineered a deep learning model with Convolutional Neural Networks (CNNs) for early pathology detection in X-ray and MRI scans, achieving a 95% diagnostic accuracy rate and reducing false positives by 22% compared to previous systems- Boosted model predictive accuracy by 18% through advanced feature engineering from multi-modal datasets, integrating DICOM images with structured EHR data and clinical notes- Accelerated model inference throughput by 30% by containerizing applications with Docker and managing deployments on a Kubernetes cluster, serving over daily predictions- Automated the model lifecycle using MLflow for experiment tracking and model registry, reducing manual oversight by 25% and standardizing deployment processes across teams- Implemented a continuous training pipeline with Apache Airflow that triggered model retraining upon detecting data drift, preserving >99% model effectiveness throughout 6+ months of production deployment- Developed real-time monitoring dashboards with Prometheus and Grafana to monitor model performance metrics, data quality, and system reliability- Optimized data preprocessing pipelines using PySpark, reducing feature engineering time from 4 hours to 15 minutes for large-scale medical imaging datasets- Designed and implemented a secure model serving architecture with role-based access control, ensuring HIPAA compliance for all patient data processing and model inferences- Created comprehensive model documentation and validation frameworks that reduced the clinical review and approval cycle time by 3 weeks for new AI deployments- Integrated explainable AI (XAI) techniques into production models, providing clinicians with interpretable insights that increased model trust and adoption by 40%.
EDUCATION
San José State University
Master of Science, Computer Software Engineering
KL University
Bachelor of Technology - BTech, Computer Science
San José State University
Master's degree, Computer Software Engineering
ABOUT NAGA GAYATRI B.
AI/ML Engineer with 3+ years of experience deploying end-to-end machine learning systems in healthcare and e-commerce. Spearheaded the implementation of continuous training pipelines using Apache Airflow, sustaining >99% model accuracy over 6+ months. Reduced feature engineering time from 4 hours to 15 minutes by optimizing data preprocessing pipelines using PySpark. Developed real-time monitoring dashboards leveraging Prometheus and Grafana for real-time visibility into model performance and infrastructure health.
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