Jay Kreps

Current

Principal Software Engineer at LinkedIn
Senior Software Engineer at LinkedIn

Past

Senior Software Engineer, Data Mining at NexTag, Inc.
Software Engineer at Movaris

Education

University of California, Santa Cruz
University of California, Santa Cruz

Connections

280 connections

Industry

Internet

Websites

Jay Kreps’s Summary

I am interested in creating new internet applications, and making existing ones smarter using machine learning, statistics, optimization techniques and common sense.

Jay Kreps’s Specialties:

machine learning, data mining, statistics, data warehousing, optimization, hadoop, analytics, distributed computing, software design, oracle, mysql, java, python, c, R, functional programming

Jay Kreps’s Experience

Principal Software Engineer

LinkedIn

(Privately Held; Internet industry)

June 2009 — Present (7 months)

I work on applied analytics at LinkedIn. This includes Project Voldemort, our distributed key-value storage, our batch data processing system built on top of Hadoop, as well as well as all the data-driven features that use these systems.
Senior Software Engineer

LinkedIn

(Privately Held; 51-200 employees; Internet industry)

August 2007 — Present (2 years 5 months)

I work on applied analytics at LinkedIn. This includes event processing, distributed key-value storage (project voldemort), hadoop, and content recommendations.
Senior Software Engineer, Data Mining

NexTag, Inc.

(Privately Held; 201-500 employees; Internet industry)

April 2006 — July 2007 (1 year 4 months)

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.
Software Engineer

Movaris

(Privately Held; 51-200 employees; Computer Software industry)

April 2005 — April 2006 (1 year 1 month)