Likitha Lavanya Kommineni

Machine Learning Engineer @Tesla

CA, US

I specialize in designing and deploying scalable, HIPAA-compliant AI solutions that drive real-world impact in healthcare. My work spans predictive modeling, real-time inference, and clinical NLP—delivering measurable improvements like an 18% boost in readmission prediction accuracy and a 47% reduction in EHR-to-dashboard latency.I\'ve built robust ML pipelines using tools like LightGBM, Clinical BERT, PyTorch, and TensorFlow, leveraging structured (ICD-10, vitals, labs) and unstructured (clinical notes) data from systems like Epic EHR. My solutions include chronic disease progression models (diabetes, COPD, CHF), real-time ICU triage engines via FHIR APIs, and automated diabetic retinopathy detection integrated with PACS.With hands-on expertise in Azure Data Factory, Delta Lake, Apache Spark, and Airflow, I engineer end-to-end ETL and MLOps workflows that ensure transparency (SHAP), traceability, and operational efficiency. My dashboards and applications—built with Tableau and Plotly Dash—equip clinical teams and executives with real-time insights for smarter decision-making.