Built and led a team of 40 engineers, engineering managers, and cross-functional contributors within Google Shopping, responsible for Google's structured product category and attribute understanding. Designed, developed, and deployed large-scale applied machine learning and human-in-the-loop systems. Expertise in large language models (LLMs), deep learning, training & evaluation data collection, experiment design & analysis, knowledge representation, and taxonomy development.

Software Engineer, Tech Lead, Tech Lead Manager in Google Shopping across a number of projects: collaborative shopping / list-making user features, online merchant ratings, and generating structured product data.

PhD in Information Retrieval, advised by Dr. Jaime Carbonell, Language Technologies Institute, School of Computer Science.Developed and evaluated novel ML and IR methods for structured document collections, focusing on conversational, threaded social media (e.g., online forums). Published in top IR, ML, and NLP conferences, including SIGIR, CIKM, WSDM.Research Interests: information retrieval, machine learning, natural language processing, automatic question answering.Publications: https://scholar.google.com/citations?user=6PQHmUsAAAAJ

Working with Natalie Glance on Google's Shopping search engine: http://www.google.com/products/

With Susan Dumais, investigated leveraging characteristic of dynamic content in web search.