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• Enabled streaming of call center audio for real-time machine learning processes. (Scala, Python, gRPC, Kafka, Kubernetes)• Designed and built workflow for automated refitting of machine learning models. (Scala, Python, Argo Workflows, Kubernetes Spark operator)• Developed shared containerized CI/CD pipelines for automatic building, linting, testing, and deployment of services, increasing speed to market and eliminating tooling incompatibilities. (Jenkins, Docker)

• Built reactive streaming micro-services (AkkaStreams) to replace legacy customer marketing and servicing messaging batch jobs. Processed billions of messages to date (up to 50 million a day) with nearly zero downtime (over 90% reduction in incidents compared to legacy). Incorporated tools to provide complete transparency to both tech and business stakeholders with Datadog and Splunk dashboards for application level monitoring/alerting and high-level flow metrics.• Implemented OpenTracing with Datadog across service ecosystem for increased transparency into service health and bottlenecks.

• Enabled real-time metrics and data analytics for transactions across fleet of ATMs by implementing data-streaming ecosystem with Apache Kafka and NiFi

Maintained websites for the College of Engineering (PHP)

Research Assistant at the Cognitive Systems Engineering Laboratory under the Integrated Systems Engineering DepartmentWorked to create a more natural control interface between humans and robots (i.e. UAVs, EOD bots, etc.). Developed realistic, 3D sandbox in Unity3D to simulate real traffic and crowd movement in cities for testing the control interface.