Harvard University

Columbia University in the City of New York

Software Engineer at Google

San Francisco, California, United States

Google

Software Engineer

- Worked in the ads prediction team. Responsible for improving and maintaining machine learning models for predicting click and conversion rates

-  Project lead for light pCTR model
o Optimized and launched new conversion model which increased mobile app installs
o Performed detailed analysis of logs using Hadoop jobs in Scala to analyze model performance and
identify potential areas of improvement

-  Measured system bottlenecks through profiling and loadtests, and improved system efficiency accordingly

Twitter

- Improved the ads ranking flow by implementing a new model at a different stage of the ranking flow, and using the experimental results to analyze which components can be optimized

-   Created model to predict the effect of changing parameters on ads revenue, using logged data in Apache Hive

Facebook

Software Engineer Intern

- Calibrated European government curves to liquid bond prices using new monotone spline methodology

-  Achieved more robust and accurate model by implementing it and testing it extensively against existing model through various metrics and graphs

BlackRock

Financial Modeling Group Intern

- Enhanced functionality of flagship job-scheduling product Platform Process Manager

Jiayang Jiang