AC User

I'm an MLOps Platform Engineer with over 6 years of experience in software engineering, focusing on full-stack development and MLOps platforms. My journey has allowed me to design and maintain applications that enhance user interaction with machine learning workloads, particularly within Kubernetes environments. At Lockheed Martin, I developed a full-stack application using React.js and Golang, which streamlined operations for internal Kubernetes clusters.

My expertise extends to building Python CLI tools for workload management and utilizing monitoring tools like Prometheus and Grafana to ensure optimal performance of Kubernetes clusters. I thrive on collaborating with users to diagnose and resolve issues, significantly reducing resolution times. My technical proficiency includes a diverse tech stack, such as Docker, Argo CD, and Kubeflow, which I leverage to support deployment processes and troubleshoot cloud-native workloads.

Prior to my current role, I honed my skills at Northrop Grumman, where I developed data visualization tools and optimized embedded software for defense programs. My academic background in Mathematics and Computer Science from the University of Colorado, Boulder, has provided me with a strong foundation to tackle complex challenges in software development and data analysis.