Two stints as a software engineer within Google Display Ads:
Most recently, I boomeranged under Google’s COVID-era remote work policy, joining as a software engineer on an infrastructure team within Ads Privacy and Security using natural language processing and machine learning to prevent policy-violating ad impressions. Our systems handled 2M+ queries per second and combined modern deep learning techniques with multi-tier human evaluation pipelines. Additionally, I had a 20% role building remote sensing infrastructure and machine learning models for a stealth climate “startup” within Google.
Early career, I worked on a small team using natural language processing and other machine learning techniques to improve advertisement quality. Led a 20% project related to mining semantic information from web data, which was adopted by several teams across different product areas. Built a named entity recognition system in C++ and a link detection algorithm that runs on very large graphs; contributed to a topic model for clustering semantic entities.