Powering point-of-sale services in retail locations globally by- Maintaining systems written in Java and Node.js being called by AWS Lambdas.- Certifying code quality via JUnit tests leveraging Mockito and integration tests relying on Cucumber.- Responding to alerts signaled by automations and global teammates in an on-call rotation.Software: Java, JUnit, Mockito, Cucumber, JavaScript, Node.js, NoSQL, DynamoDB, AWS Lambda

Enforced consistent governance and informing cost metrics in Nike's cloud environment by- Standardizing 37 Google Cloud projects to adhere to Cloud Audit requirements.- Engineering a Node.js integration between CloudHealth and SignalFx to ingest application performance monitoring data from 15,000+ Nike assets.- Completing hands-on Qwiklabs independently to learn how to create and manage Google Cloud resources.- Presenting to multiple audiences on common DevOps practices and Nike’s cloud posture, including 500 teammates at a Developer Engineering Forum.Software: JavaScript, Node.js, CloudHealth, SignalFx, Google Cloud Platform, Qwiklabs

Championed Nike’s digital footwear product design process by - Enabling designers to derive photorealistic images from 3D models. - Transforming material textures into various file formats for use throughout product creation. - Designing and implementing a PyQt GUI to facilitate color-correction of inaccurate renders. - Creating a proof-of-concept to test potential use cases for Unreal Engine.Software: Python, Python Mock, PyQT, V-Ray, UnReal Engine

Protected tens of thousands of Nike-affiliated users from cyber-attacks by - Analyzing data ingested daily into our search platform. - Enriching available insight across our data sources to highlight odd patterns. - Responding to requests from internal incident teams for specialized data-driven alerts. - Developing a Machine Learning algorithm capable of identifying malicious PowerShell scripts. - Implementing complex data aggregation processes to further contextualize malware infections.Software: Python, Pandas, Jupyter Notebooks, Data Search tools

Alleviated the manual workload of Nike's dispute analysts by - Gathering requirements based on the issues dispute analysts face on a day-to day basis. - Automating data retrieval from web portals to boost efficiency and reduce triage overhead. - Assessed the utility of data provided from vendors via email for use in an alternative solution. - Exhibited application to executive leadership, outlining the next steps to take with my work. - Documenting the end-to-end architecture, articulating deployment requirements and estimating the effort necessary to support future development.Software: Java, Selenium

Simplified processes for a team of developers and explored new infrastructure tools by- Incorporating an open-source database migration tool into my team's .NET Core project to automate PostgreSQL database schema changes across different Cloud Foundry spaces.- Investigating the Predix Audit Service to determine its suitability for GE Digital's projects.- Testing the capabilities of the Predix Audit Service by launching an app in Cloud Foundry.- Demonstrating and documenting my results, highlighting the architecture challenges faced.Software: C#

Demonstrated a way to visualize EA's player network and provide powerful insights by- Retrieving and studying data from the Digital Platform Social team's in-game social features.- Exposing EA's player network to game designers and software engineers via web portal.- Programming a user-friendly web page to facilitate query-writing on our graph database.- Presenting my results to the Chief Technology Officer and other engineers within EA.Software: JavaScript, HTML, Play web application framework