Senior Machine learning Engineer @ Ads Core ML2022.10 ~ now Working on Co-designing feature and model to improve Ads rankingModel STO for dynamic product ranking modelSenior Research Data Scientist @ AI Infra2019.9 ~ 2022.9 Working Projects:1. Adaptive CheckpointingA dynamic optimization method to optimize checkpointing interval for large scale training so as to reduce operational overhead. 2. Transfer Learning for Ranking ModelsApply transfer… Show more Senior Machine learning Engineer @ Ads Core ML2022.10 ~ now Working on Co-designing feature and model to improve Ads rankingModel STO for dynamic product ranking modelSenior Research Data Scientist @ AI Infra2019.9 ~ 2022.9 Working Projects:1. Adaptive CheckpointingA dynamic optimization method to optimize checkpointing interval for large scale training so as to reduce operational overhead. 2. Transfer Learning for Ranking ModelsApply transfer learning to warm up large scale ranking models. Provides transfer learning as a service to achieve global resource saving in Meta AI production model training. Show less

Build machine-learning based model to detect risky code files for code review and code testingPatent: Time-weighted Risky Code PredictionWO2019143542A1 - Time-weighted risky code prediction - Google PatentsA classification machine learning model is trained to predict the likelihood that a software program is likely to have a software bug in the future. The model is based on features from different source code files having changes made to fix a software...

Started research project on Clinical Site fraudulence detection based on clinical site level features. Formulated the problem as a multi-classification problem and applied machine learning methods (randomforest, boosted tree, deep neural network).Developed a data visualization App using Rshiny for fraudulence detection.