I am a Staff Machine Learning Engineer at Apple, where I build large-scale machine learning systems for search and data-centric artificial intelligence. My early work focused on AppleBot - Apple's web crawler, among the top ten AI crawlers on the web - and on information extraction systems that power Spotlight and Siri. Since 2023, I have been leading multiple efforts in pre-training data quality and curation for the foundation models behind Apple Intelligence.

Before Apple, I was a Machine Learning Researcher at NASA's Jet Propulsion Laboratory, where I worked on the DARPA Memex program under the supervision of Dr. Chris Mattmann, building search technologies for the deep and dark web. I also contributed to the Mars Target Encyclopedia, applying text mining to extract scientific findings from planetary science literature, and to Polar Deep Insights, an EarthCube-funded project surfacing scientific data from polar repositories.

I received my master's degree from the University of Southern California, supported by a Dean's Master's Fellowship. There, I co-invented Sparkler, a distributed web crawler built on Apache Spark with an Apache Solr backend, and contributed to other Apache projects such as Nutch - work that led to my election as a member of the Apache Software Foundation.