- Developing new backend system using Node.js to enable UT students to scan into the university's gyms using only a pass in their Apple/Google wallet with an auto-refreshing QR code- Implementing necessary REST endpoints to enable NFC scan-in within the same environment for enhanced user convenience- Facilitated RecSports internal transition from local servers to AWS-based architecture - EC2, RDS, WAF, CloudFormation, Lamda- Implemented automated EC2 image spin-up for distributed RecSports server instances- Upgraded internal codebase to conform to new REST protocols

- Led transition RecSports IT to University TRECS for day-to-day IT Support- Managed process to enroll each UT RecSports' device to Jamf management system- Facilitated IT support needs for full time staff of UT RecSports- Streamlined technological changes while overseeing network integrations

- Developed new java library to automate internal micro-logging adjustments using Kafka, Kubernetes, and Hazelcast- Library is generic and thus can be implemented within any micro-service, opening up the ability to automatically micro-adjust targeted logging levels across the entire pipeline- Implemented local testing environment to run new library with Minikube, Kafka, and other internal services- Decreased adjustment time by >98.33% (>5hr to ~15s), critical for incident response- Incorporated various upgrades to internal tools and monitoring services to continue system dogfooding