Applied Science, Shopping, ContentDeveloped algorithms, libraries, and search systems, driving virtually all the embedding-based recommendations at Pinterest, including organic and ads implementations in Homefeed, Search, Related Pins, Shopping, NearDup, and Visual Search.Invented a series of new distribution-aware LSH algorithms and solutions used to construct balanced search indices (multiple patents pending). Developed multiple embedding-search solutions, leading to dramatic reduction in search costs of more than 100X.Developed groundbreaking embedding-based recommendation solutions for Shopping, Video, and Ads. Pioneered use of GraphSage (aka PinSage) embeddings and multi-embedding recommendation systems at Pinterest.

Independently developed a highly-scalable proximity-search system capable of reconstructing user proximity history with every other SKIA user in the world with high-precision, sub-minute accuracy and in real-time, all while maintaining privacy by not storing where they go or storing explicitly who they meet.

Google+Designed and developed systems to migrate Google products and services to a unified user profile representation and store.

Independently developed a highly general, personalized semantic-search platform for organizing and exploring structured data online. Acquired by Google Inc.

Android, Google Book Search (Metadata Clustering)Independently developed a distributed real-time audio-identification system (EZ Music). Secured support from Marissa Mayer.Presented to Larry Page, Sergey Brin, and Sundar Pichai.

Data Mining and AnalysisDesigned and developed systems to watch competition. Provided Google leadership with data to make strategically-important decisions, including acquisition of YouTube in 2006.

Visual C++ team, Compiler Front-End

Visual C++ team, Compiler Front-End

Visual C++ team, Visual Studio IDE

1.00 - Introduction to Computers and Engineering Problem Solving (C++)