* Lead principal engineer for the Data Platform that supports WBD DTC worldwide * Architected the Data Platform used by WBD DTC for business and operational analytics, reporting, and machine learning * Data collection using micro services and Kafka * Data pre-processing and semantic processing using Databricks * Integrations and sharing using Snowflake * Dashboarding using Looker * Oversaw the provisioning of infrastructure required for the entire stack used by the Data Platform * Supported the migrations of HBO max data workloads* Leads and collaborates on architectures and system designs across all teams in the Data and Analytics org as well as with data processing teams in other orgs * Authors and reviews architecture design documents * Supports the prioritization of impactful phases of implementation * Supports the breakdown of those phases into technical work tickets* Collaborates with Privacy and InfoSec teams on ensuring compliant management of data across DTC * Works closely with Product Managers on creating architectures that complement compliance product requirements* Mentors and develops SDEs and SDMs on architecture, system design, and agile engineering

* Lead engineer for the Data Platform that supported D+ worldwide* Led the architectural design of the Data Platform for WBD DTC during the merger with HBO and WM* Led the POC and adoption of Databricks* Led the POC and adoption of Airflow * Developed and maintained legacy Golang micro services for collecting and processing client and backend data sources * Provided data that supported integrations with 1st and 3rd party platforms for analytics, reporting, experimentation, and machine learning * Led the team in the adoption of agile engineering practices

Led and managed technical program management for Xevo Inc.• Managed a team of 5 TPMs that oversaw all engineering projects• Led and managed technical program management for Xevo’s research anddevelopment group• Organized and aligned engineering efforts with product into monthly milestones• Provided transparency between engineering, product, and executive leadership ondevelopment efforts and costs• Developed and applied flexible standards around project management thatsupported both engineering and productLed and managed the engagement engineering team• Managed a team of 3 engineers• Developed a prototype recommendations engine using Snowflake and SpringBoot services

Developed machine learning prototypes and pilot products

Developed and maintained backend Java Spring services to support Walt Disney Parks and Resorts OnlineAssisted in the migration of backend services to AWSIntegrated Elasticsearch with Walt Disney sites and mobile applicationsDeveloped a backend job to export Walt Disney restaurant data to Yext to support SEO

https://mykorzi.comCofoundedDeveloped the entire tech stack using Java Spring Boot and AWS

First engineer hired.Designed and developed the ReplyYes Inc. product recommendation engine.Architected the entire ReplyYes Inc. stack on AWS.Worked on all parts of the stack using Java Spring and Ruby.Open sourced the ReplyYes Inc. Facebook Messenger client: https://github.com/ReplyYes/facebook-messenger.Recruited and mentored the entire engineering team.

Designed and developed product recommendations for the product detail, cart, and order confirmation pages as well as for product based trigger marketing emails.Developed a cart page specific product recommendation that surfaces inventory left over in fulfillment centers.Developed the site and mobile customer experience for handling product exchanges.Coordinated with big data teams to properly integrate their features with site and mobile experiences and helped ensure that their tech stacks were meeting SLAs.Won two hack days. WOOT!

Designed an A/B testing framework for Amazon’s automated email marketing platform.Designed and developed a horizontally scalable framework for function testing Web pages and emails.Developed Web page widgets for Amazon.com using Java Spring.Prototyped an analytics engine and data cube for Amazon Fashion.Developed custom automated email marketing campaigns for Amazon Fashion.Identified issues and developed solutions that improved the search experience for Endless.com and Javari.com.

Researched, designed, and developed the personalization framework used for ordering sales that are displayed to users. Utilized Java Spring to provide configurable A/B testing support and MongoDB to store the generated user profiles.Researched, designed, and developed the product recommendation engine for suggesting similar items to users. Built using Apache Lucene.Designed and developed a common Java library for interacting with Gilt’s third party email service provider.Designed, developed, and maintained the marketing and finance data warehouse using AsterData nCluster. That entailed the development of Map Reduce functions using AsterData's SQLMR package.Designed, developed, and maintained ETL processes that handled customer order, email, and clickstream data.

Designed, created, and maintained Java Spring Web applications and Firefox toolbars for Websites such as Webfetti, Zwinky, ZwinkyCuties, MyFunCards, Retrogamer, MyWebFace, and Life123.Researched and developed a prototype recommendation toolbar that suggested Smileys to users composing emails.

Reviewed and edited journal article submissionsRegularly published opinion pieces

Conducted research in Information Retrieval, Human Computer Interaction, and Natural Language Processing

I have successfully managed two projects with Dal-ACM. The first is TigerBooks, an open source used bookexchange written in PHP. The second is TigerEvents, another open source project written using Ruby on Rails. TigerEvents is an organization level event calendar system.