Oct 2014 – Present · 11 yrs 7 mos · San Francisco Bay Area

• Confluent is a company built around realtime data and the open source messaging system Apache Kafka.

Oct 2011 – Sep 2014 · 2 yrs 11 mos

• I am the technical lead for LinkedIn's relevance and data systems. This includes infrastructure such as our storage systems, our stream system Apache Kafka, LinkedIn's search system, recommendation engine and collaborative filtering, and the social graph services.

Apr 2010 – Oct 2011 · 1 yr 6 mos

• I led a small group of very talented engineers building innovative products and infrastructure based on LinkedIn's incredible data.
• We worked on a set of open source infrastructure projects that included Voldemort (our open source key-value storage system), our Hadoop data ecosystem including Azkaban (our job scheduler), and Kafka, the distributed messaging and stream processing system that powers LinkedIn's activity data processing pipeline.
• We also worked on a set of data-driven features on the site such as People You May Know, Who's Viewed My Profile, Skill Pages, and many of the collaborative filtering applications for LinkedIn's various data types.

Jul 2009 – Apr 2010 · 9 mos

Jun 2007 – Jul 2009 · 2 yrs 1 mo

Apr 2006 – Jul 2007 · 1 yr 3 mos

• I worked on a system for collecting, analyzing, and optimizing data around merchant profitability on a large, high-traffic consumer internet site. I designed the system used for this from the ground up and was the first employee on the NexTag data mining team when it was formed specifically to concentrate on this problem.

Apr 2005 – Apr 2006 · 1 yr