Senior Software Engineer responsible for several key components of Nominum and Akamai's DNS based security platforms, built around Apache Kafka, Vertica, and the InfluxDB time-series database.

• Lead engineer on an Apache Kafka stream processing engine responsible for consuming, transforming, and producing high volumes of data.
• Designed and built major components of a high performance reporting engine capable of processing 1.5 million transactions per second at scale.
• Designed and built a RADIUS, DHCP and DIAMETER IP Address change tracking solution capable of handling over 10,000 IP address changes per second in a production environment.
• Implemented several new features on Akamai's high-performance HTTP Proxy software, deployed to millions of end users world-wide.
• Worked closely with geographically diverse customers to build robust solutions to their problems.

As an early employee, helped build a popular and growing Consumer-to-Consumer online marketplace with Ruby on Rails, MySQL, Apache, Varnish, RabbitMQ, and Heroku.

• Designed and built a fraud detection and prevention system that reduced fraudulent activity by 80% and significantly increased customer satisfaction.
• Architected and wrote tools to perform competitive pricing analysis to ensure healthy market prices.
• Spearheaded integrated of the Glyde Marketplace with PayPal (payment and withdrawal), and Twilio (SMS messaging).
• Implemented a cohort analysis system to analyze buying and selling patterns to improve business strategy decision making.
• Developed a system to publish daily Glyde inventory to comparison shopping sites, increasing customer awareness and traffic.
• Improved developer productivity by implementing simulated external services for use during development and testing.
• Developed frameworks for unified package tracking and delivery notification via several shipping companies.

Software Engineer with the LOCKSS Program at Stanford University. LOCKSS ("Lots Of Copies Keep Stuff Safe") is an Open Source, distributed, peer-to-peer digital content preservation system used by libraries world-wide to preserve digital journals.

• Architected and implemented major portions of the new LOCKSS peer-to-peer polling protocol (LCAP V3), resulting in a ten-fold improvement in content auditing and repair efficiency over the previous implementation.
• Created a complete testing environment in Python for stress and integration testing of the LOCKSS Network.
• Designed and built a dynamic Java plugin extension system for automatically finding and updating running LOCKSS systems with new functionality.
• Drove the creation of internal project management tools using Ruby on Rails, streamlining the ability to publish new content to the LOCKSS network.