
Automation and Cloud Infrastructure engineer at Deloitte, building automated systems and scalable infrastructure for enterprise clients. I work with CI/CD pipelines, Kubernetes, AWS, Docker, Terraform, and monitoring solutions to deliver reliable, efficient platforms. My experience includes infrastructure automation, deployment pipelines, cloud architecture, and MLOps workflows - applying DevOps principles to machine learning systems. Recent projects involve containerized applications, infrastructure as code, data pipelines, and ML model deployment infrastructure. Graduated from NERIM with a degree in Computer Science (2023). Currently working with MLflow, Kubeflow, monitoring tools like Prometheus and Grafana, and cloud-native infrastructure. Focused on ai cloud infrastructure engineering. Open to opportunities in platform engineering, SRE, and ML infrastructure roles
Project 2: State of Colorado
Linux, Terraform, Kubernetes, Prometheus, Grafana, Docker, MLFlow, Dagshub, AWS, EC2, AWS Sagemaker, Shell Scripting, Python, Jenkins, CI/CD, Container Orchestration, Automation