• Established robust CI/CD pipelines for a groundbreaking production environment in China using AWS ECR, S3, Helm, and Kubernetes resulting in the first Chinese patient enrolled in a China-hosted instance of Carelink.• Increased the uptime of microservices to 99.99% by containerizing C# Carelink services in Docker Linux and strategically deploying through Kubernetes across various AWS availability zones.• Reduced cloud costs to operate the main REST API of Carelink by 75% by implementing autoscaling and Istio service mesh to meet demand in high-load times and be cost-effective in low-load times.• Converted WCF based SOAP protocols to high-performance gRPC protocols and documented testing practices for developers.• Increased observability of production environments by creating Dynatrace dashboards and automating alerts to on-call developers to ensure a quick response to production issues.• Leveraged Microsoft-developed upgrade-assistant tools to convert microservices to the multi-platform framework .NET 6 which removed a dependency on Windows VMs.• Saved 8+ hours per new developer by automating developer machine setup with Powershell scripts.

• Rapidly developed 909 data mapping features for EDI documents using Java and GIT which resulted in 93% on-time feature completion rate which was above the average of 85%• Developed over 100 data pipelines, enabling seamless conversion of data formats including JSON, XML, CSV, and proprietary formats which onboarded 43 new SaaS clients.• Trained 3 new hires by demonstrating internal processes, using pair-programming, and delegating beginner tasks.• Reduced a data pipeline runtime from 22s to 1s by caching database queries, demoed this new strategy to the team, and created documentation for future implementations.

• Guided students to solutions to programming problems in C, Python, Java, and JavaScript• Communicated technical problems with other students • Maintained a positive learning environment with a patient and supportive attitude

• Discovered a novel antibiotic resistance gene and published findings in a peer-reviewed journal, Antimicrobial Agents and Chemotherapy. https://doi.org/10.1128/AAC.00867-20• Reduced data processing time of genome analysis from 3 months to 4 hours by automating with Python scripts on a high-performance Linux server.• Presented research findings at an intercollegiate MIAC conference to 100+ attendees.