1. Spearheaded the development of Redfin’s advanced recommender system for real estate, optimizing critical features such as listings recommendation to maximize user engagement2. Managed the end-to-end development lifecycle over four years: from initial research, data handling and feature engineering to model training, model governance, experimentation, continuous monitoring, and seamless production integration3. Designed and led the development of Redfin’s Machine Learning platform in a cloud-based, monitored, and orchestrated environment (PaaS)4. Implemented robust workflow management with Airflow, comprehensive model governance using MLflow and Amazon SageMaker, and a feature store leveraging Feast and Iceberg. Seamlessly integrated with data lakes and ETL pipelines, orchestrated on Kubernetes

Engineer on Notifications team responsible for processing millions of listing updates and recommendations each day for Redfin's customers, driving a very large percentage of Redfin traffic. Spearheaded cross-functional teams in architecting, developing, and deploying Redfin's next-generation, large-scale streaming platform using Kafka, Kafka Streams, and Samza.

•Supported the Global Operation Asia Center IT team of GE, led GEHELP project, focused on data integrity, web application and platform optimization, providing bill inquiries, traffic inquiry and other information inquiries•Developed a webpage to support the query requests of GEHELP, using HTML and CSS•Operated and maintained a flexible mobile platform supporting easy-use official business via interface provided by WeChat platform