Wendong Song

Train and optimize clinical ML models on large-scale patient data, leveraging advanced feature engineering and hyperparameter tuning to achieve improvements in predictive accuracy and treatment personalization.

Built and deployed a full-stack internal tool with React and normalized SQL schema, automating manual workflows and reducing admin overhead by 60% across 3 teams; improved data reliability and interoperability by developing RESTful APIs with integrated unit tests, cutting backend response times by 35%.

Engineered scalable big data processing pipelines to handle vast datasets, leveraging Pandas DataFrames, neural networks, and Redis caching, ensuring 99.9% data persistence across Apache Airflow and Django tasks.