Software Engineer
Current- Maintained, improved, and released the CI/CD pipeline used by machine learning engineers to test and deploy AI models across distributed compute clusters.- Redesigned CI/CD pipeline for >3-hour time savings through parallel stage architecture, elevating developer productivity and improving project timelines.- Implemented a success metric for API calls, resulting in a 20% decrease in production failures by proactively identifying and addressing potential issues.- Implemented features to surface available compute resources and warn users if compute resources were low, resulting in a 30% improvement in developer efficiency.- Deployed compute resources, databases, and environments using infrastructure as code yaml templates (Azure Resource Manager)