Software Engineer
Current• Independently leading a project, which includes designing, mentoring other engineers, and communicating with a variety of stakeholders (product managers, UI/UX, and research scientists) to automatically train customer’s models and provide newly updated recommendations through the use of AWS Lambda, DynamoDB, Step Function, and EventBridge, which immediately increased daily revenue• Triaging, independently root causing, and collaborating across different teams for 60 tickets a week, including sev2s and customer tickets, while maintaining pipelines to ensure developer’s productivity and product quality as production oncall• Developing model updates for new data with feature compression to manipulate datasets efficiently to process data with 50 metadata columns through PySpark and AWS Glue• Designing and implementing of the integration of statistical analysis on the machine learning models to help customer’s better understanding the performance of our models including NDCG, coverage, recall, precision, ROC AUC, and MRR through Sklearn