* Fractional VP of Engineering* AI Product Strategy Advisement* Engineering Leadership Mentoring and Coaching* Architecture and Technical Advisement

Building the interview platform for Operations, Devops, and SRE. Ditch the Whiteboard, Interview at the Command Line.

– Responsible for technical direction of the the Rocana Server Agent as well as supervision ofengineers working on it. The Agent is a Go daemon which collects log and metric data fromcustomer servers without impacting performance of the systems on which it runs. Deployedat customer sites with server inventories of over 35,000. Engage with customers and FieldTechnical Services team to determine product needs, and work with Product team to developlong term road map for Agent features.– Also responsible for internal Build Engineering efforts. Provide technical direction as wellas mentorship to engineers working on tools for automated provisioning and configuration ofservers, as well as performance, integration, and correctioness testing of Rocana software acrossa complex matrix of supported platforms in a distributed environment.– Work closely with the Product team to define features for Rocana Ops, a user facing applicationwhich targets IT system operators. Use experience in system operations to help productunderstand the needs of operations teams and how new features can best solve their day to dayproblems.– Prior to elevation to a Technical Lead, developed initial versions of the Rocana Server Agentas well as building out a Continuous Deployment environment so that the current version ofthe Rocana software was alway available for testing by engineers as well as providing a demoenvironment for sales. Also worked on initial version of the Rocana Transformation Enginewhich allowed for configurable transforamtion of ingested data prior to landing in its finaldataset.

– Lead team that won the Best New Feature category in the 2013 Netflix Cloud Prize competition.Under my supervision the team improved Lipstick, an Apache Pig job visualization tool opensourced by Netflix. Contributed new features as well as adding key integration points whichallowed Lipstick to be integrated with the Mortar platform.– Developed the Mortar Local framework which transparently installs, configures, and managesupdates to the Hadoop and Apache Pig runtimes allowing data scientists to author and executeHadoop jobs in their local environments without having to perform any software installationor configuration.– Developed Oz, an internal support platform for managing various system inside of MortarData. By providing a central platform for support functionality, which had previously onlybeen available in adhoc scripts, the visibility into system operations greatly increased. In addition,support burden was greatly reduced as all common support functions became trivial toperform.– Built Aristo, a tool for continuous deployment. Aristo consists of web application for performingdeployment steps and a DSL for easily defining steps to build, test, and deploy code tostaging and production environments. The previous deploy processes varied greatly acrossprojects, and each step had a varying level of documentation which made them susceptiblehuman error. Using the Aristo DSL, deploy steps were easily automated and the user facing deployprocess for each project was reduced to a sing

– Payments Core Engineering - Responsible for the general availability and automated recovery ofinternal credit card processing systems. Work includes upgrades to existing systems to providegraceful degradation in the event of downtime in external dependencies and the addition ofnew services which provide automated detection and recovery of recurring classes of systemfailures.– Developed Hadoop application using Apache Pig for analyzing performance of A/B tests runningon the website. This application also served as a prototype for evaluating a possibletransition from existing data processing tool chain.– Created a library for writing map reduce programs in PHP which abstracted away details ofinterfacing with Hadoop such as IPC and data type coercion. This allowed Hadoop applicationsto leverage existing in-house APIs, infrastructure, and knowledge.– Automated configuration and software package deployment for hadoop and payment processingservers using Chef.

– Developed a distributed implementation of analytical model for recommending financial newsand information based on client portfolios. Using Hadoop and Apache Pig, this new implementationwas able to process 24 hours of news information for each client portfolio in underan hour, improving upon the original implementation which required over 12 hours to processa testing data set of 1/10 the size.– Created Jython based unit testing tool kit for Apache Pig. This provided functionality forautomatically verifying the correctness of analytical models which reduced the overall defectrate. By using Jython to interface with Java based Hadoop and Pig APIs, this approach alloweddevelopers more familiar with Python to quickly iterate on models in Pig via standard unittesting techniques.– Developed work flow system for Apache Pig which provided basic flow control and segmentationof individual models while still allowing for shared consumption of data extraction andcleansing pipeline.– Mentored junior developers on software engineering techniques for implementing analyticalmodels and process automation.

Design and supervise the construction of human behavior simulation software utilizing the Python programming language and Oracle database management system. Assign and review software development work of graduate student programmers in the research lab. Mentor programmers in software engineering techniques such as object oriented design, unit testing, source control, and design patterns.Support research lab's server infrastructure by configuring and supporting Linux servers. Perform routine maintenance such as backups, user account management, and software upgrades. Automate routine tasks through Perl scripts. Implement additional server software as required by developers.

Senior developer whose primary responsibilities include design and implementation of features for an in house Warehouse Management System (WMS), supporting and debugging issues in existing Transact SQL code, and developing and supporting user interfaces for WMS in Classic ASP.