At Mayo Clinic’s, I architect and deliver production-grade machine learning solutions on AWS. I designed end-to-end Amazon SageMaker pipelines that reduced deployment time by 40%.
I also implemented MLflow practices for experiment tracking and model versioning, and built CI/CD pipelines with GitHub Actions and Jenkins. My work includes secure infrastructure with Terraform and AWS CDK, plus production monitoring with CloudWatch and Prometheus.
Before Mayo Clinic’s, I worked at Caylent, Inc and AlizaTech on machine learning systems for finance, retail, and predictive analytics. At Caylent, Inc, I led a team of six engineers and developed model improvements that increased performance by more than 25%.
