I love to work with data of all sizes. In the past, I’ve worked in both scientific and business settings to solve concrete problems, including disease gene identification and spam detection. Later, I helped people to see and understand their data at Tableau, culminating in the building of a high performance database and an accompanying programming language to express data processing pipelines. More recently, I transitioned to Apple, where I designed and helped to build the next generation of their machine learning inference infrastructure from the Core ML team.
Listed skills include Ruby On Rails, C#, Sql, Mac Os X, and 28 others.