My personal interests are data mining & machine learning with engineering in real-world applications. For the past 5 years, I worked at Google Ads focused on recommendation models, user intent and personalization models. Our models & signals have been actively served for multiple Google products including Google Search Ads targeting, Google Discovery and pCVR scoring models.Prior to Google, I was a PhD at UT Austin focused on ML in both theory and applications. Problems I was working on including recommender systems(matrix factorization, two tower models), robust PCA, and large-scale network analysis(clustering, link prediction).