Christopher Zimmerman Email & Phone Number

San Francisco Bay Area

Lead Quantcast Engineering and Corporate Technology. We develop and operate a bespoke technology stack that leverages proprietary data, machine learning, and artificial intelligence (AI) at scale, to autonomously make millions of ad buying decisions per second. In a moment in time, these systems use a multi-goal predictive control framework and continuous.

San Francisco, California

Led the Infrastructure Platform. These platform teams develop, maintain, and operate the petascale distributed storage and processing systems that support the business, along with a set of common tools and services that provide the foundation on which Quantcast operates. The platform owns the Quantcast FIlesystem, a space efficient highly performant.

San Francisco, California

Led the Big Data Platform group, which consisted of multiple teams that developed and operated the petascale distributed systems that support the business. This included realtime edge counter streaming and aggregation, data pipeline scheduling, efficient distributed resource allocation, a data catalog, the proprietary map/reduce stack, a SQL to map/reduce.

San Francisco, California

Led the Platform Operations SRE team responsible for the operations of Quantcast's large scale distributed systems, including event collection, realtime bidding, and petascale data processing.Reduced the number of on-call incidents per week from an average of 30 to less than 1.

San Francisco, California

Led the Cluster Operations SRE team which owned and operated the compute cluster and numerous instances of the Quantcast File System. Drove hours of impacted operator time from 300 to less than an hour per week. At the same time improving cluster availability from 95 to 99.5% per week. During this period data processed per day grew from 0.4 PiB per day to.

San Francisco, California

Contributed to the development and operation of Quantcast's proprietary map/reduce cluster.

San Francisco

As part of a major effort to move TypePad to a service oriented architecture; developed a horizontally scalable in memory service for reading and writing text blobs, organized in an arbitrary hierarchy. The system is used to power blog comment threads.Developed a system that made it trivial for engineers to insert arbitrary tagged timers into the TypePad.

Santa Clara

Worked on grid computing, specifically Hadoop on Demand, a system for dynamically provisioning Hadoop map/reduce and distributed file system clusters, for use by researchers and developers at Yahoo!Developed an XML-RPC based relay messaging system. The system allows for both asynchronous and synchronous messaging via XML-RPC call backs.Led an effort to.

Palo Alto

Worked with the All The Web search marketing services group to integrate their systems with AltaVista's paid inclusion efforts.

Palo Alto

Developed a system for automated building and maintenance of small search indexes. Specifically, a news and freshness index. The system accepts feeds from the central crawlers, filters them, indexes them, and maintains statistics on how frequently content changes via a finger printing system. All this information is then fed back to the central crawlers.