Partner with Engineering and stakeholders across Bloomberg to help build out our massive scale, on-prem, Kubernetes-based private cloud. Focused on container and workflow orchestration and stream processing.

* Lead the Compliance Cloud Platform team. Manage a platform of 1000s of containers with Spark, Kafka, HDFS, Storm, Flink, JVM Services and more.* Co-Chair, Java and JVM Guild - Lead a community of 1000+ JVM developers across Bloomberg.

Big Data and Machine Learning Consulting: From Startups to Fortune 1000Projects Include:* Security and scalability of an IoT device to cloud communications channel as well as stream processing, storage and analytics for a well-known consumer brand.* Self-healing, zero data loss, secure, distributed complex event stream processing system and PB scale storage built from the ground up on Mesos.www.mammothdatallc.com

* Ran day-to-day engineering with a focus on recruitment.* Established and led a team of Data Scientists and Data Engineers.* Created a Big Data platform on bare metal to support large scale machine learning and analytics.

Led the backend engineering team following the Thumbplay acquisition in March 2011.* Architected the iHeartRadio platform, and built the backend for iHeart.com and mobile apps. Despite registering over 10 million users in 6 months who are streaming 500 million+ songs per month, we’ve achieved both “5-9’s” uptime and API response success with sub 20 millisecond latency.* Developed features, including Custom Radio used by over 500K concurrent users daily.* Directed the Operations and DBA team for the Data Center rollout of nearly 100 servers for launch. Fully HA, Horizontally Scalable, Redundant, Failover Tested.

Led the backend engineering team for Thumbplay Music, a cloud music service.* Rewrote the backend to support a rapidly growing customer base, including the partial transition from Postgres to MongoDB.* Designed and developed our custom radio product which adjusts the listening experience to the user's musical tastes.* Developed a music recommendation engine to suggest artists and albums to our users.

Led the Engineering and Operations teams developing analytics and targeting algorithms relating to revenue enhancement and text categorization for a Pay-Per-Click (PPC) online advertising platform processing billions of ad requests and generating gigabytes of actionable data per day.* Designed Automated Scoring, software and formulas that perform multivariate assessment of network traffic quality. Reduced a manual, 20-hour, weekly process into a 30-minute, daily process, tripling conversion rates. * Created Right Match which performs non-exact, contextually related matching of user search queries to advertiser keywords, enhancing advertiser performance while increasing overall revenue 10-15%.* Created Taxonomizer, a Lucene-backed algorithm that categorizes user search queries into verticals, enabling advertiser category buys and diversifying the product offering and revenue stream. * Designed a highly-scalable, unified framework for real-time and asynchronous click fraud detection to detect and block fraud among millions of daily clicks. * Established a Business Intelligence initiative by creating frameworks to collect and datawarehouse high volumes of data. Directed analysis of data to inform business decisions and optimize the platform daily.

As part of the Strategic Trading Initiatives group, collaborated with traders to develop algorithms which calculated millions of trading positions a day in real-time driving constantly evolving trading strategy and automated trading systems. Learned how to consistently deploy complex code in a demanding environment where mistakes could cost millions.