Created benchmarks to assess real-world GPU bandwidth performance on a headset device. Focused on UBWC effectiveness (especially in the case of YCbCr images), contention on the memory controller (under different clock speeds), and thermal throttling. With the goal of requesting hardware improvements where needed to reach acceptable compositor performance (Vulkan, C++)

- Led data model design for an avatar system, and implemented rendering for these avatars in a proprietary 3d graphics engine (C++), allowing detailed customization of avatars, in a hierarchy, without a notable increase in complexity for users- Retargeted full-body motion capture data (Android), as well as VR motion capture data, onto an assembled avatar, so that avatars mirrored the movements of their users (C++, C#)- Enabled development of collaborative VR experiences by creating an interface for interacting with avatars in VR, with support for multiple disparate avatar systems (C#)

- Designed and implemented a system for specifying maintenance windows in GCP Alerting (C++, Angular)- Brought Pub/Sub and Slack notification channel types out of beta by improving test infrastructure, and adding client-requested features (C++, Angular)- Drove a 261% adoption of alert charts in GCP by implementing the ability to manage alert policies from dashboards, through those charts (Angular)

- Led design and implementation for data enrichment and aggregation pipelines running in real time. - Designed data stores for low latency retrieval, which sped up major use-cases by a factor of 30- Utilized Kafka, Flink, and Hbase for data aggregation pipelines, Scala for web backends, and Angular for web front ends- Provided code-generation tools that cut development time for core features down to a third- Developed a feature flag service in Go to better coordinate feature releases, and drove adoption of the feature flag service across multiple teams- Drove adoption of Docker to simplify deployments

Fixed bugs and implemented new features for the Rutgers instance of the Sakai application in a Linux environment using the following technologies: JavaScript, Git, Subversion, Java, Tomcat, Spring, Hibernate, CSS, jQuery, MySQL, Maven

Improved the build environment, version control, and deployment systems of an application; worked with Ant, Maven, Gradle, Java, Shell Scripting, and Perl Scripting.

Implemented proof-of-concepts for new features and unit-test methods using the following technologies in a Linux environment: Git, Grails, Selenium, JavaScript, CSS